WO2008096318A2 - Système d'identification - Google Patents

Système d'identification Download PDF

Info

Publication number
WO2008096318A2
WO2008096318A2 PCT/IB2008/050424 IB2008050424W WO2008096318A2 WO 2008096318 A2 WO2008096318 A2 WO 2008096318A2 IB 2008050424 W IB2008050424 W IB 2008050424W WO 2008096318 A2 WO2008096318 A2 WO 2008096318A2
Authority
WO
WIPO (PCT)
Prior art keywords
spots
sensor carrier
sensor
spot
identification information
Prior art date
Application number
PCT/IB2008/050424
Other languages
English (en)
Other versions
WO2008096318A3 (fr
Inventor
Willem M. J. M. Coene
Anke Pierik
Original Assignee
Koninklijke Philips Electronics N.V.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Koninklijke Philips Electronics N.V. filed Critical Koninklijke Philips Electronics N.V.
Publication of WO2008096318A2 publication Critical patent/WO2008096318A2/fr
Publication of WO2008096318A3 publication Critical patent/WO2008096318A3/fr

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence
    • G01N21/645Specially adapted constructive features of fluorimeters
    • G01N21/6452Individual samples arranged in a regular 2D-array, e.g. multiwell plates
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/27Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
    • G01N21/274Calibration, base line adjustment, drift correction
    • G01N21/278Constitution of standards
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence
    • G01N21/6428Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes"
    • G01N2021/6439Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes" with indicators, stains, dyes, tags, labels, marks
    • G01N2021/6441Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes" with indicators, stains, dyes, tags, labels, marks with two or more labels

Definitions

  • the invention relates to a sensor carrier.
  • the invention relates to a set of sensor carriers.
  • the invention relates to a method of manufacturing a sensor carrier. Moreover, the invention relates to an apparatus for determining identification information for identification of the sensor carrier. Further, the invention relates to a method of determining identification information. Moreover, the invention relates to a method of use.
  • a biosensor assembly may comprise a membrane having a plurality of detection spots printed on the membrane in accordance with a specific two-dimensional lattice.
  • the biosensor assembly may further comprise a light source for illuminating the membrane with light, wherein a fluorescence pattern originating from the spots may then be detected by a multi-pixel detector such as a CCD. On the CCD image, positions corresponding to the spots of the membrane have to be reconstructed during image processing.
  • intensity calibration spots may be printed on the biosensor assembly.
  • WO 2004/017374 A2 discloses an array reader suitable for clinical purposes for reading a two-dimensional array of features on a planar substrate, in which the features carry photo -responsive markers, the markers capable of emitting light upon excitation, the array reader comprising an illumination system for simultaneously exciting multiple photo -responsive markers distributed in a two-dimensional array over the substrate, and an image collection and recording system having a field of view for emissions from the features on the substrate, wherein the illumination system comprises a light source arranged to flood the two-dimensional array with light at an excitation wavelength, along an illumination path disposed at an angle to the plane of the substrate, the image collection and recording system having an image-acquiring axis substantially normal to the plane of the substrate carrying the array, employing a two-dimensional sensor comprising a solid-state array of photosensitive elements, for instance a charge- coupled device (CCD) or a CMOS array, and the image collection and recording system constructed and arranged to apply an image of the array of features upon the solid-state array of size of the same order of magnitude as the
  • a sensor carrier In order to achieve the object defined above, a sensor carrier, a set of sensor carriers, a method of manufacturing a sensor carrier, an apparatus for determining identification information, a method of determining identification information, and a method of use according to the independent claims are provided.
  • a two- dimensional sensor carrier comprising a substrate and a plurality of spots formed on the substrate, wherein each spot (or a part thereof) may contain capture probes that are able to bind to analyte molecules, and wherein the plurality of spots comprise at least one reference spot arranged for encoding identification information for identification of said two-dimensional sensor-array or sensor-carrier.
  • a set of sensor carriers comprising a plurality of sensor carriers having the above mentioned features, wherein the plurality of sensor carriers differ regarding the arrangement of the at least one reference spot for encoding individual (for instance unique) identification information in each of the plurality of sensor carriers (so that each of the plurality of sensor carriers is distinguishable from the other sensor carriers merely on the basis of the identification code which unambiguously identifies this specific sensor carrier).
  • a method of manufacturing a sensor carrier comprising forming a plurality of spots on a substrate, and arranging/configuring at least one of the plurality of spots as at least one reference spot for encoding identification information.
  • an apparatus for determining identification information is provided, the apparatus comprising a decoding unit adapted for decoding identification information of a sensor carrier having the above mentioned features by analyzing the arrangement (for instance by considering a printing position and/or a surface property) of the at least one reference spot.
  • a method of determining identification information is provided, the method comprising decoding identification information of a sensor carrier having the above mentioned features by analyzing the arrangement of the at least one reference spot.
  • At least one reference spot of a sensor carrier having the above mentioned features is used for encoding identification information.
  • a program element for instance a software routine, in source code or in executable code
  • a processor when being executed by a processor, is adapted to control or carry out a method of manufacturing a sensor carrier or a method of determining identification information having the above mentioned features.
  • a computer-readable medium for instance a CD, a DVD, a USB stick, a floppy disk or a harddisk
  • a computer program is stored which, when being executed by a processor, is adapted to control or carry out a method of manufacturing a sensor carrier or a method of determining identification information having the above mentioned features.
  • the information encoding and decoding scheme according to embodiments of the invention can be realized using a computer program, that is by software, or by using one or more special electronic optimization circuits, that is in hardware, or in hybrid form, that is by means of software components and hardware components.
  • identification information may particularly denote one or more data bits of information which are provided in the form of a specific arrangement of distinguishable reference spots.
  • the presence or absence of a reference spot at a particular position, a property of a spot at a particular position, etc., and such a characteristic for several positions, may encode information in a similar manner as letters of a word or a sentence.
  • plural of spots may particularly denote an array of several, for instance some hundred or some thousand, pixels or spots. Each of these spots may form a sensor portion of a sensor array.
  • the spots may be arranged, for instance in a matrix- like manner.
  • Each of the plurality of spots may comprise capture molecules or other probes which may be used during the actual sensor performance for identifying particles of a sample, for instance by hybridization events.
  • the plurality of spots may comprise a plurality of sensor or detection spots which are (only) intended for use as probes during the sensor procedure. Additionally, the plurality of spots may comprise a plurality of reference spots.
  • plural of reference spots may particularly denote several spots formed at specifically selected positions on the array of spots and dedicated to serve as markers which allow to identify the sensor carrier. Simultaneously, such reference spots may serve for one or more additional purposes such as intensity calibration, gridding (i.e. retrieving information indicative of a lattice type according to which the spots are arranged in a spot-depositing step or spot-printing step), etc.
  • the "substrate” may be made of any suitable material such as glass, plastics, or a semiconductor.
  • the term “substrate” may be thus used to define generally the elements for layers that underlie a spot comprising layer or portions of interest.
  • the “substrate” may be any other base on which a structure is formed, for example a glass or metal layer.
  • electromagnetic radiation may particularly denote a beam of photons of any appropriate wavelength or any appropriate range of wavelengths. This may include the optical spectrum (for instance the range between 400 nm and 800 nm), but may also include electromagnetic radiation of other wavelengths such as UV, infrared, or even X-rays.
  • sample may particularly denote any solid, liquid or gaseous substance to be analysed, or a combination thereof.
  • the substance may be a liquid or suspension, furthermore particularly a biological substance.
  • Such a substance may comprise proteins, polypeptides, nucleic acids, lipids, carbohydrates or full cells, etc.
  • a sensor carrier may be provided on which a plurality of spots are printed/deposited, wherein an arrangement of one or more reference spots on the sensor carrier is indicative of an identification number or any other identification code which is provided on the level of the substrate of the sensor carrier. Therefore, in a single procedure with the printing of (sensor) spots such as capture molecules immobilized on the substrate, an identification code for the sensor carrier may be printed/deposited directly onto the sensor carrier without the need of an additional manufacture procedure.
  • the information may be printed on the surface level of the substrate in the same manufacturing procedure during which also the sensor spots are deposited, and one and the same spot may serve for a double function, namely for encoding the identification information and for performing an additional function (for instance to serve as an intensity calibration marker, a corner marker, a PCR control marker, etc.).
  • a (bio-)sensor assembly with a sensor-carrier which may be a two-dimensional substrate or a two-dimensional membrane on which capture probes are attached, it may be of interest to identify the substrate that carries the spots with specific capture probes.
  • an information carrier or sensor-carrier for instance a 2D-substrate.
  • a possible application scenario is a sensor device comprising a liquid processing unit (producing the analyte molecules in one way or the other), a spotted array with capture probes (such as a sensor carrier), a reaction unit (for the reaction between spotted array and analyte molecules), and a detection unit for detection of the binding via binding specific signals.
  • the sensor carrier which is the spotted array with capture probes may be a disposable.
  • the detection device can be used many times, each time for a different spotted array. So, the identification of the spotted array may be an issue according to an exemplary embodiment of the invention.
  • a sensor carrier may denote a substrate used for sensing purposes or may denote a (spotted) array or an assay.
  • a readout system may be provided for automatically reading out identification information encoded in the arrangement of the reference spot(s) on the substrate level.
  • such reference spots are provided at a specific position on the substrate so as to allow the readout system to determine which sub-arrangement of reference spots is indicative of the identification information.
  • spots which are used for other purposes for instance as intensity calibration spots, corner marker spots, PCR control spots, etc. (see Fig. 2) are simultaneously or synergetically used to encode identification information.
  • permutation coding and/or decoding of one or more subsets of intensity calibration spots may be used in an assay to code for a unique identification number for each printed assay or each family of printed assays.
  • This may include position coding of the set of intensity calibration markers and the combination of permutation and position coding. Particularly, this may allow for providing an array identification code via a double use of intensity calibration markers for the purpose of intensity calibration and for encoding identification information.
  • a number of intensity calibration spots may be included. These can be positioned in the center of the array, at pre-defined locations on the two-dimensional grid. Below, it will be described how permutation coding of one or more subsets of these calibration spots can be used to code for a unique identification number or ID-number for each printed assay or family of printed assays. Further, some extra measures may be taken to increase the robustness of proper detection and decoding of this ID information. Finally, position coding of the overall set of intensity-calibration markers can be used to provide extra capacity for ID- numbers, for instance in order to identify generations of batches of assays.
  • Position coding and permutation coding may also be combined so that an indexing system with the following hierarchy may be provided: generation-ID - batch-ID - membrane-ID.
  • intensity calibration spots which are usually but not exclusively provided in a middle of the spot array can be used according to exemplary embodiments for two purposes, namely to check whether the printing process was acceptable, based on checking different spots with different intensities.
  • a second purpose of these intensity calibration spots may be that different intensities /wavelengths of electromagnetic radiation emitted by such intensity calibration spots after excitation with electromagnetic radiation may serve to encode identification information.
  • the identification calibration spots may be capture molecules labelled with a fluorophore, which are shortly referred to as pre-labelled molecules, and printed with different concentrations and amounts of pre-labelled molecules thicknesses/areas/characteristic wavelengths of the fluorophore on specific portions of the sensor array.
  • the intensity calibration spots may also be used for a (semi-)quantitative data evaluation.
  • identification information may include the unique identifier for the assay, for a batch of assays, etc.
  • identification code indicative of the generation of a product of assays may be used in this context.
  • an identification of a spotted array may be performed on the level of the printed spots.
  • Specifically dedicated spots for instance already present spots or additional spots of a sensor array, may be used for identification. This may save cost and space on the sensor active area.
  • a binary coding may be performed including an information whether a specific spot is present (logical information "1") or is not present (logical information "0").
  • two or more bits may be stored in one reference spot. It is also possible to provide one or more of the dedicated reference spots/identification spots with an intensity of "0", i.e. to provide capture molecules without fluorophore or to provide no capture molecules at all at a spot position. When capture molecules are provided, these may also be used in the context of the actual sensing so that essentially no loss of capacity occurs.
  • the plurality of spots may comprise a plurality of detection spots adapted for detecting the presence of analyte molecules to be detected.
  • Such spots or sensor cells or pixels may include capture molecules, electric sensor pixels, magnetic sensor pixels, electrochemical sensor pixels, etc.
  • the plurality of spots may be arranged in accordance with a specific grid pattern (for instance in a hexagonal manner with specific angular and distance parameters) which may be re-calculated on the basis of an image captured from the plurality of pre-labelled spots before an analyte-probe reaction sensor event (which may denote the interaction of analyte molecules with specific types of capture probe molecules) has taken place.
  • the at least one reference spot may comprise a fluorescent material.
  • illumination of the sensor carrier with electromagnetic radiation may cause only the pre-labelled reference spots to emit light which can be detected by a detector such as a CCD array.
  • the reference spots may comprise a highly reflective material so that electromagnetic radiation impinging on the reference spots will be reflected and directed to the detector.
  • the material of the reference spots may be adapted to cause an image (only) of the reference spots.
  • the sensor carrier may comprise a plurality of reference spots, for instance at least ten reference spots.
  • a plurality of reference spots having different spot-characteristic physical modulation like characteristic emission wavelengths of fluorophores, different characteristic concentrations of fluorophores, different characteristic emission areas (i.e. different sizes of spots provided with fluorophores), etc., it may be possible to encode a large amount of information in the identification portion of the sensor carrier that contains the reference spots.
  • all reference spots do carry fluorophore- labels.
  • at least one of the plurality of reference spots may be free of a fluorophore.
  • the reference spots of a given subset may have different intensities due to e.g. different capture probe concentrations. It is not absolutely necessary that one reference spot is completely empty, it might in some cases be preferred to have signal from all reference spots, for instance when combining corner-marker spots with identification spots, since it may be desirable that all corner-marker spots give rise to a detectable signal. In other words, such a reference spot may only contain capture molecules or may be simply an empty portion on the substrate surface. Also the number and positions of empty spots on the sensor carrier may include identification information.
  • the plurality of reference spots may be grouped to form at least two groups of reference spots. For example, 16 reference spots may be divided into two groupsof 5reference spots and one group of 6 reference spots.
  • each individual one of the groups may include specific identification information. For example, a first group may be indicative of an identification number of a specific assay/sensor carrier, a second group may be indicative of a specific batch of sensor arrays, and a third group may be indicative of a product generation of sensor arrays.
  • the at least one reference spot may comprise an intensity calibration spot, or a corner marker spot (such that the at least one spot has at least a double functionality, being for identification and for intensity calibration, or, being for identification and as a corner-marker spot). It is also possible that other specific and usually used spot types such as a PCR control spot are used additionally to encode identification information. Alternatively, it is also possible to dedicate a specific portion of the sensor surface exclusively for the identification purpose. An intensity calibration spot may be used for verifying the quality of the printing procedure.
  • Corner marker spots may be used for gridding purposes, that is to say to correlate an image on a CCD device to a sensor array on the sensor carrier (assay) and to determine information indicative of a lattice order according to which the spots are arranged during spot-deposition.
  • a PCR control spot may be used to verify the quality of a polymerase chain reaction (PCR) which may be performed to dramatically increase the concentration of a sample on the sensor surface.
  • PCR polymerase chain reaction
  • the identification information may be indicative of the assay/sensor carrier (that is to say may be a unique identifier for the assay/sensor carrier), a batch of sensor arrays to which the particular sensor assay at hand device relates (that is to say a product charge or the like), a generation of batches to which the sensor assay relates, and/or a product generation to which the sensor assay relates (that is to say a version or product number of a specific company).
  • other identification information may also be stored in the sensor carrier such as a date of expiry of the sensor carrier, a resolution of the sensor, information characterizing the capture molecules, etc.
  • At least a part of the plurality of spots may comprise capture molecules adapted for hybridizing with complementary analyte molecules to be detected.
  • the capture molecules may be DNA molecules which are immobilized on the sensor surface.
  • the sensor carrier may be a biosensor or a molecular diagnostics sensor carrier.
  • a biosensor may be a molecular probe, or particularly an array of a plurality of molecular probes, measuring the presence or concentration of biological molecules, biological structures, etc., by translating a biochemical interaction at the probe surface into a quantifiable physical signal such as light or an electric pulse.
  • a biochemical interaction at the probe surface into a quantifiable physical signal such as light or an electric pulse.
  • embodiments of the invention may be applied to any array- like sensor structure, for instance a gas sensor, a temperature sensor, or any molecular sensor.
  • the apparatus may comprise an imaging device adapted for capturing the image of the plurality of reference spots.
  • an imaging device may be a multiple pixel detector, such as a CCD (charge coupled device) or a CMOS detector.
  • the reference spots may be imaged on the surface of the detector. Based on this image, it is possible to determine the identification information encoded in the reference spots of the sensor carrier.
  • the apparatus may further comprise an electromagnetic radiation source adapted for illuminating the plurality of reference spots.
  • an electromagnetic radiation source may be an LED, a laser, or any other lamp.
  • electromagnetic radiation sources of other wavelengths such as infrared radiation, UV radiation or even X-rays.
  • Fig. 1 illustrates a sensor device, that is a complete sensor assembly or sensor arrangement, according to an exemplary embodiment of the invention.
  • Fig. 2 illustrates a two-dimensional assay/sensor carrier according to an exemplary embodiment of the invention.
  • Fig. 5 shows a hexagonal layout for a sensor carrier according to an exemplary embodiment of the invention with 16 intensity calibration spots allocated in a center area.
  • Fig. 6 shows a distribution of intensity levels over three disjoint sets.
  • Fig. 7 illustrates a hexagonal layout for a sensor carrier according to an exemplary embodiment of the invention with 16 intensity calibration spots allocated within a selection of 20 spot locations.
  • Fig. 8 illustrates a sensor carrier according to an exemplary embodiment of the invention having four sets of ID coding.
  • Fig. 9 to Fig. 12 illustrate the four sets of identification coding of the sensor carrier of Fig. 8.
  • Fig. 13 illustrates an apparatus for manufacturing a sensor carrier according to an exemplary embodiment of the invention.
  • the sensor arrangement 100 comprises a sensor carrier 110 and a readout apparatus 190.
  • the sensor carrier 110 comprises a substrate 111 which may be a membrane. On the substrate 111, a plurality of spots 113, 114 are formed in accordance with a predefined grid pattern. These spots 113, 114 comprise pre-labelled reference spots 113 and un-labelled detection spots 114.
  • the reference spots 113 which may also be denoted as "intensity calibrating and identification spots” comprise a fluorescent material and are adapted and arranged for verifying the printing procedure according to which the spots 113, 114 are printed on the substrate 111. Simultaneously, the reference spots 113 are arranged and configured for encoding identification information uniquely identifying the sensor carrier 110.
  • the image containing signal from the reference spots 113 only may be captured by a CCD camera 150 of the information/data readout device 190.
  • the plurality of reference spots 113 are arranged at such positions and with such fluorescence properties that the fingerprint of the reference spots 113 on the CCD array 150 is unambiguously indicative of an identification code identifier identifying the sensor carrier 110.
  • a light source 180 such as an LED emits a beam of light 181 which is impinged on the surface of the substrate 111.
  • any sensor event analyte-probe reaction
  • a CPU 160 of the readout apparatus 190 is capable of deriving the identification information encoded in the arrangement of the reference spots 113, i.e. is adapted as an ID data decoder.
  • the detection spots 114 (which may comprise different kinds of capture molecules) may be brought in functional contact or in fluidic communication with the fluidic sample so that hybridization events may occur between the molecules to be detected and the capturing molecules assigned to the spots 114.
  • the particles to be detected may be labelled with fluorescence labels. When the particles to be detected comprise fluorescence labels, this may result, after illumination of the sensor surface 111 by the light source 180, in a spot pattern on the CCD camera 150.
  • the information encoded in the arrangement of the reference spots 113 may be used as well.
  • An analysis unit 170 may be dedicated for performing the analysis, that is to say for determining the presence and/or quantity of particles to be detected by the sensor carrier 110.
  • the decoding performance of the unit 160 and the detection analysis performance of the unit 170 may be carried out by a single CPU (central processing unit) 175 or by a microprocessor.
  • the sensor arrangement 100 comprises a user interface 185 which allows a user to bidirectionally communicate with the apparatus 190, or more particularly may perform a bidirectional communication with the CPU 175.
  • the user interface or input/output unit 185 may comprise input elements such as a keypad, a joystick, a trackball or even a microphone of a voice recognition system.
  • the input/output unit 185 may comprise a display device such as a cathode ray tube, an LCD device, a monitor, a TFT device, a plasma device, etc.
  • Fig. 2 illustrates the sensor carrier 110 in more detail. Particularly, specific different types of spots are indicated in Fig. 2.
  • PCR control spots are denoted with reference numeral 200 and are adapted for controlling a polymerase chain reaction (PCR) which may be initiated in the liquid pre-processing module of the sensor arrangement on a sensor surface of the sensor carrier 110.
  • Corner marker spots 201 may be used for identifying a gridding scheme, i.e. a scheme according to which the spots of the sensor carrier 110 are arranged.
  • an identification portion 204 located in a centre of the array of the spots is provided and is used for two purposes.
  • the first purpose is the encoding of an identifier information identifying the sensor carrier 110.
  • the second purpose is the use of the spots of the portion 204 as intensity calibration spots, that is to say for controlling or monitoring the deposition procedure which can be a printing procedure by which the capture molecules of the spots of Fig. 2 are formed are printed on the substrate 111.
  • background spots 202 and detection spots 114 are shown as well.
  • the capture molecules bound to the individual spots 113 are labelled with fluorophores.
  • the intensity of the fluorescence characteristic of the spots 113 may differ in accordance with differences in the as-deposited concentrations and amounts of pre-labelled probe- molecules. Therefore, the specific permutation of the individual spots 113 to the 16 positions of the identification portion 204 may include the identification information.
  • each spot having a different intensity there are N possible locations on the array 110 to distribute these N spots 113, 114 that will yield different intensities with values Io, Ii, ..., I N - I -
  • these intensity values are assumed to belong to a set of ordered intensity values (for instance in the order of increasing intensity).
  • there are N! possibilities to allocate these N different spots (with different intensities) over the N possible locations for instance over the 16 positions of region 204 of Fig. 2).
  • Via enumerative coding techniques it is possible to devise simple encoding and decoding procedures as is outlined below.
  • FIG. 4 A schematic picture is shown in Fig. 4.
  • the algorithm that is outlined below makes use of a set of ordered probe positions.
  • the initial set of ordered probe positions comprises all positions, and can be denoted by
  • STEP-2 determine probe position Xk as the 1-th element out of the ordered set Sk, that is:
  • STEP-3 update the current remainder of the index i by:
  • STEP-4 update the current ordered set of remaining probe positions, hereby eliminating the probe position that has just been selected, by:
  • the corresponding index (or identification number) can be computed as:
  • Fig. 5 shows a hexagonal lay-out for the assay 500 with 16 intensity calibration spots 113 allocated in the center area 204.
  • the intensity values that are selected for each probe-set are shown in Fig. 6.
  • the sub-sets are really indicated to be disjoint. In another embodiment, it may be chosen to have intensity values for different sub-sets to be partly overlapping, or even to be identical (if the size of the subsets is the same). For instance, with 16 spots and 4 sets, having only 4 really different intensity levels is also an implementation of this basic principle.
  • Fig. 6 shows a distribution of intensity levels (I 0 , Ii, ..., I15) over the three - in this particular case - disjoint sets. Note the separation of two consecutive intensity levels within one set by three steps in intensity.
  • Some extra error detection (or reliability) measure can be devised as follows: in case the (absolute value of the) distance between two consecutive intensity levels within a probe-set is getting above a certain pre-set threshold value, then the 2D- assay can be declared to be unreliable because of this obvious error in the respective values of the intensity-calibration markers.
  • the threshold can be set equal to a fraction (for instance f x 1/15) of the total signal range Ii 5 -I 0 .
  • the information resides in the precise location of these intensity- calibration spots.
  • spots are (or may be) interleaved with other spots carrying the specific capture probes that are spotted for detection of the pathogens, see the open circles 701 in Fig. 7.
  • Fig. 7 shows a hexagonal lay-out for an assay 700 with 16 intensity calibration spots allocated within a selection of 20 spot locations. A division of these 16 spots 113 into three disjoint sets, Set-0, Set-1 and Set-2, is also shown (by proper color- coding of the respective spots 113). This division should be set (or agreed upon) for each position allocation. The remaining four spots 701 (indicated with open circles) are available as spots with capture-probe molecules.
  • an intensity calibration spot 113 and a capture probe spot 114 The difference between an intensity calibration spot 113 and a capture probe spot 114 is that the former has attached to each spotted molecule, one fluorophore for (optical) detection, whereas the latter does not since hybridization to a fluorophore- labelled molecule from the patients (blood) cells is needed to generate the optical signal from such a capture probe spot 114. Next, it will be explained how to detect this information.
  • a way to detect the position of the intensity calibration spots 113 is to detect which spots are "on” (that is, produce a fluorescence yield) or "off prior to the hybridization step. In this way, it is possible to avoid also that capture probe spots 114 may be confused with potential intensity calibration spots 113 (which would make detection difficult or impossible). Some practical numbers will be given next.
  • Fig. 7 This numbering can be used to identify a class (or generation) of batches of membranes.
  • the hierarchical indexing can then be: generation-ID -> batch-ID -> membrane-ID.
  • Fig. 8 illustrates another sensor carrier 800 according to an exemplary embo diment o f the invention.
  • Fig. 8 is similar to Fig. 2. However, in the identification portion 204 in the centre of the sensor carrier 800, green-coded ("G"), orange-coded (“O"), red-coded (“R”) and blue-coded ("B”) color-coded reference spots 113 are provided. Therefore, Fig. 8 illustrates four sets of ID coding via permutation coding. 16 membrane ID spots 113 are provided in an asymmetric design. Each of the groups G, O, R, B includes four spots 113 so that four sets of each four spots 113 are provided.
  • each group four different intensities 10, II, 12 and 13 are characteristic for the individual spots 113.
  • Fig. 9 illustrates the set of the green-color-coded reference spots 113.
  • Fig. 10 illustrates the set of the orange-color-coded reference spots 113.
  • Fig. 11 illustrates the set of the red-color-coded reference spots 113.
  • Fig. 12 illustrates the set of the blue-color-coded reference spots 113. Referring to the legend in Fig. 9 to Fig. 12, "11” denotes a very low, “1” a low, “h” a high and “hh” a very high intensity.
  • a dispenser device or deposition device 1300 which could be an inkjet printer, according to an exemplary embodiment of the invention will be explained.
  • the dispenser device 1300 is capable of manufacturing a sensor carrier 110 according to an exemplary embodiment of the invention.
  • the dispenser device 1300 generates the spots 113, 114 to generate a pattern of detection spots 114 and identification spots 113 on the surface of the membrane 111.
  • the dispenser device 1300 comprises a tip 1301 having an internal cavity through which spot material from containers 1302 to 1304 may be printed on specific positions of the surface of the substrate 111.
  • one of the containers 1302 may comprise a fluorescence material which is used by a control unit (such as a CPU) 1310 to detect reference spots 113.
  • a two-dimensional motion mechanism 1315 allows to perform a relative motion in a two-dimensional manner between the substrate 110 and the tip 1301.
  • the surface of the substrate 111 may be scanned by the tip 1301 to deposit suitable material for forming the respective reference spots 113 or detection spots 114 on the surface of the substrate 111.
  • a predetermined pattern is stored at which positions of the two- dimensional array of reference spots 113 and in which positions detection spots 114 shall be spotted.

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Biochemistry (AREA)
  • Pathology (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Engineering & Computer Science (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
  • Inspection Of Paper Currency And Valuable Securities (AREA)
  • Measurement Of Length, Angles, Or The Like Using Electric Or Magnetic Means (AREA)

Abstract

Groupe capteur ou support capteur bidimensionnel (110), comprenant un substrat (111) et une pluralité de points (113, 114) formés sur le substrat (111), dans lequel la pluralité de points (113, 114) comprend au moins un point de référence (113) agencé pour coder des informations d'identification pour l'identification dudit groupe capteur bidimensionnel.
PCT/IB2008/050424 2007-02-09 2008-02-06 Système d'identification WO2008096318A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP07102067.1 2007-02-09
EP07102067 2007-02-09

Publications (2)

Publication Number Publication Date
WO2008096318A2 true WO2008096318A2 (fr) 2008-08-14
WO2008096318A3 WO2008096318A3 (fr) 2008-10-30

Family

ID=39494869

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2008/050424 WO2008096318A2 (fr) 2007-02-09 2008-02-06 Système d'identification

Country Status (1)

Country Link
WO (1) WO2008096318A2 (fr)

Cited By (46)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102009019476A1 (de) * 2009-05-04 2010-11-11 Biametrics Marken Und Rechte Gmbh Wiedererkennbarer Träger für optische Meßverfahren
DE202011005278U1 (de) * 2011-04-15 2012-09-20 Euroimmun Medizinische Labordiagnostika Ag Objektträger
WO2015054292A1 (fr) * 2013-10-07 2015-04-16 Cellular Research, Inc. Procédés et systèmes de comptage numérique de zones caractéristiques sur des jeux ordonnés d'échantillons
EP2933017A1 (fr) * 2014-04-17 2015-10-21 AyoxxA Biosystems GmbH Dispositif codé et procédé de codage et de décodage de zones de référence sur un substrat
US9315857B2 (en) 2009-12-15 2016-04-19 Cellular Research, Inc. Digital counting of individual molecules by stochastic attachment of diverse label-tags
US9567646B2 (en) 2013-08-28 2017-02-14 Cellular Research, Inc. Massively parallel single cell analysis
US9708659B2 (en) 2009-12-15 2017-07-18 Cellular Research, Inc. Digital counting of individual molecules by stochastic attachment of diverse labels
US9727810B2 (en) 2015-02-27 2017-08-08 Cellular Research, Inc. Spatially addressable molecular barcoding
WO2018144574A1 (fr) 2017-02-01 2018-08-09 Illumina, Inc. Système et procédé à repères de centrage ayant des dispositions décalées
WO2018144567A1 (fr) 2017-02-01 2018-08-09 Illumina, Inc. Système et procédé à repères de centrage dans des dispositions non rectilignes
US10202641B2 (en) 2016-05-31 2019-02-12 Cellular Research, Inc. Error correction in amplification of samples
CN109416323A (zh) * 2017-02-01 2019-03-01 伊鲁米那股份有限公司 具有反射基准的***和方法
US10301677B2 (en) 2016-05-25 2019-05-28 Cellular Research, Inc. Normalization of nucleic acid libraries
US10338066B2 (en) 2016-09-26 2019-07-02 Cellular Research, Inc. Measurement of protein expression using reagents with barcoded oligonucleotide sequences
US10619186B2 (en) 2015-09-11 2020-04-14 Cellular Research, Inc. Methods and compositions for library normalization
US10640763B2 (en) 2016-05-31 2020-05-05 Cellular Research, Inc. Molecular indexing of internal sequences
US10669570B2 (en) 2017-06-05 2020-06-02 Becton, Dickinson And Company Sample indexing for single cells
US10697010B2 (en) 2015-02-19 2020-06-30 Becton, Dickinson And Company High-throughput single-cell analysis combining proteomic and genomic information
US10722880B2 (en) 2017-01-13 2020-07-28 Cellular Research, Inc. Hydrophilic coating of fluidic channels
US10822643B2 (en) 2016-05-02 2020-11-03 Cellular Research, Inc. Accurate molecular barcoding
US10941396B2 (en) 2012-02-27 2021-03-09 Becton, Dickinson And Company Compositions and kits for molecular counting
EP3576868A4 (fr) * 2017-02-01 2021-03-17 Illumina, Inc. Système et procédé avec repères répondant à de multiples fréquences d'excitation
US11124823B2 (en) 2015-06-01 2021-09-21 Becton, Dickinson And Company Methods for RNA quantification
US11164659B2 (en) 2016-11-08 2021-11-02 Becton, Dickinson And Company Methods for expression profile classification
US11177020B2 (en) 2012-02-27 2021-11-16 The University Of North Carolina At Chapel Hill Methods and uses for molecular tags
US11319583B2 (en) 2017-02-01 2022-05-03 Becton, Dickinson And Company Selective amplification using blocking oligonucleotides
US11365409B2 (en) 2018-05-03 2022-06-21 Becton, Dickinson And Company Molecular barcoding on opposite transcript ends
US11371076B2 (en) 2019-01-16 2022-06-28 Becton, Dickinson And Company Polymerase chain reaction normalization through primer titration
US11390914B2 (en) 2015-04-23 2022-07-19 Becton, Dickinson And Company Methods and compositions for whole transcriptome amplification
US11397882B2 (en) 2016-05-26 2022-07-26 Becton, Dickinson And Company Molecular label counting adjustment methods
US11427868B2 (en) 2017-02-01 2022-08-30 Illumina, Inc. System and method with fiducials of non-closed shapes
US11492660B2 (en) 2018-12-13 2022-11-08 Becton, Dickinson And Company Selective extension in single cell whole transcriptome analysis
US11535882B2 (en) 2015-03-30 2022-12-27 Becton, Dickinson And Company Methods and compositions for combinatorial barcoding
US11608497B2 (en) 2016-11-08 2023-03-21 Becton, Dickinson And Company Methods for cell label classification
US11639517B2 (en) 2018-10-01 2023-05-02 Becton, Dickinson And Company Determining 5′ transcript sequences
US11649497B2 (en) 2020-01-13 2023-05-16 Becton, Dickinson And Company Methods and compositions for quantitation of proteins and RNA
US11661631B2 (en) 2019-01-23 2023-05-30 Becton, Dickinson And Company Oligonucleotides associated with antibodies
US11661625B2 (en) 2020-05-14 2023-05-30 Becton, Dickinson And Company Primers for immune repertoire profiling
US11739443B2 (en) 2020-11-20 2023-08-29 Becton, Dickinson And Company Profiling of highly expressed and lowly expressed proteins
US11773441B2 (en) 2018-05-03 2023-10-03 Becton, Dickinson And Company High throughput multiomics sample analysis
US11773436B2 (en) 2019-11-08 2023-10-03 Becton, Dickinson And Company Using random priming to obtain full-length V(D)J information for immune repertoire sequencing
US11932901B2 (en) 2020-07-13 2024-03-19 Becton, Dickinson And Company Target enrichment using nucleic acid probes for scRNAseq
US11932849B2 (en) 2018-11-08 2024-03-19 Becton, Dickinson And Company Whole transcriptome analysis of single cells using random priming
US11939622B2 (en) 2019-07-22 2024-03-26 Becton, Dickinson And Company Single cell chromatin immunoprecipitation sequencing assay
US11946095B2 (en) 2017-12-19 2024-04-02 Becton, Dickinson And Company Particles associated with oligonucleotides
US11965208B2 (en) 2019-04-19 2024-04-23 Becton, Dickinson And Company Methods of associating phenotypical data and single cell sequencing data

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002018945A2 (fr) * 2000-08-30 2002-03-07 Basf-Lynx Bioscience Ag Puce d'analyse
WO2002053013A2 (fr) * 2000-12-29 2002-07-11 Diachip Limited Lecteur intelligent de biopuce pour operations de diagnostic abondantes, a code d'identification optique
US6471916B1 (en) * 1999-11-09 2002-10-29 Packard Instrument Company Apparatus and method for calibration of a microarray scanning system
EP1336662A2 (fr) * 2002-02-14 2003-08-20 Ngk Insulators, Ltd. Puce à ADN, appareil d'analyse d'échantillon et méthode correspondante
WO2004065995A2 (fr) * 2003-01-23 2004-08-05 Alpha Innotech Corporation Signe d'identification et de cible de focalisation
WO2005024695A2 (fr) * 2003-09-03 2005-03-17 Agilent Technologies, Inc. Procedes pour coder des informations non biologiques sur des microreseaux
EP1584372A2 (fr) * 2004-04-10 2005-10-12 Samsung Electronics Co., Ltd. Un micro-réseau avec d'information d'identification enregistrée sous forme d'un spot et et son procédé de préparation
WO2006007715A1 (fr) * 2004-07-20 2006-01-26 Umedik Inc. Systeme et methode pour la lecture rapide de macro-matrices et de micro-matrices

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6471916B1 (en) * 1999-11-09 2002-10-29 Packard Instrument Company Apparatus and method for calibration of a microarray scanning system
WO2002018945A2 (fr) * 2000-08-30 2002-03-07 Basf-Lynx Bioscience Ag Puce d'analyse
WO2002053013A2 (fr) * 2000-12-29 2002-07-11 Diachip Limited Lecteur intelligent de biopuce pour operations de diagnostic abondantes, a code d'identification optique
EP1336662A2 (fr) * 2002-02-14 2003-08-20 Ngk Insulators, Ltd. Puce à ADN, appareil d'analyse d'échantillon et méthode correspondante
WO2004065995A2 (fr) * 2003-01-23 2004-08-05 Alpha Innotech Corporation Signe d'identification et de cible de focalisation
WO2005024695A2 (fr) * 2003-09-03 2005-03-17 Agilent Technologies, Inc. Procedes pour coder des informations non biologiques sur des microreseaux
EP1584372A2 (fr) * 2004-04-10 2005-10-12 Samsung Electronics Co., Ltd. Un micro-réseau avec d'information d'identification enregistrée sous forme d'un spot et et son procédé de préparation
WO2006007715A1 (fr) * 2004-07-20 2006-01-26 Umedik Inc. Systeme et methode pour la lecture rapide de macro-matrices et de micro-matrices

Cited By (88)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102009019476A1 (de) * 2009-05-04 2010-11-11 Biametrics Marken Und Rechte Gmbh Wiedererkennbarer Träger für optische Meßverfahren
US10059991B2 (en) 2009-12-15 2018-08-28 Cellular Research, Inc. Digital counting of individual molecules by stochastic attachment of diverse labels
US11993814B2 (en) 2009-12-15 2024-05-28 Becton, Dickinson And Company Digital counting of individual molecules by stochastic attachment of diverse labels
US11970737B2 (en) 2009-12-15 2024-04-30 Becton, Dickinson And Company Digital counting of individual molecules by stochastic attachment of diverse labels
US10047394B2 (en) 2009-12-15 2018-08-14 Cellular Research, Inc. Digital counting of individual molecules by stochastic attachment of diverse labels
US9315857B2 (en) 2009-12-15 2016-04-19 Cellular Research, Inc. Digital counting of individual molecules by stochastic attachment of diverse label-tags
US9816137B2 (en) 2009-12-15 2017-11-14 Cellular Research, Inc. Digital counting of individual molecules by stochastic attachment of diverse labels
US9845502B2 (en) 2009-12-15 2017-12-19 Cellular Research, Inc. Digital counting of individual molecules by stochastic attachment of diverse labels
US10619203B2 (en) 2009-12-15 2020-04-14 Becton, Dickinson And Company Digital counting of individual molecules by stochastic attachment of diverse labels
US10392661B2 (en) 2009-12-15 2019-08-27 Becton, Dickinson And Company Digital counting of individual molecules by stochastic attachment of diverse labels
US9708659B2 (en) 2009-12-15 2017-07-18 Cellular Research, Inc. Digital counting of individual molecules by stochastic attachment of diverse labels
US10202646B2 (en) 2009-12-15 2019-02-12 Becton, Dickinson And Company Digital counting of individual molecules by stochastic attachment of diverse labels
DE202011005278U1 (de) * 2011-04-15 2012-09-20 Euroimmun Medizinische Labordiagnostika Ag Objektträger
US11634708B2 (en) 2012-02-27 2023-04-25 Becton, Dickinson And Company Compositions and kits for molecular counting
US10941396B2 (en) 2012-02-27 2021-03-09 Becton, Dickinson And Company Compositions and kits for molecular counting
US11177020B2 (en) 2012-02-27 2021-11-16 The University Of North Carolina At Chapel Hill Methods and uses for molecular tags
US10954570B2 (en) 2013-08-28 2021-03-23 Becton, Dickinson And Company Massively parallel single cell analysis
US11618929B2 (en) 2013-08-28 2023-04-04 Becton, Dickinson And Company Massively parallel single cell analysis
US9637799B2 (en) 2013-08-28 2017-05-02 Cellular Research, Inc. Massively parallel single cell analysis
US9567646B2 (en) 2013-08-28 2017-02-14 Cellular Research, Inc. Massively parallel single cell analysis
US9598736B2 (en) 2013-08-28 2017-03-21 Cellular Research, Inc. Massively parallel single cell analysis
US10131958B1 (en) 2013-08-28 2018-11-20 Cellular Research, Inc. Massively parallel single cell analysis
US10151003B2 (en) 2013-08-28 2018-12-11 Cellular Research, Inc. Massively Parallel single cell analysis
US11702706B2 (en) 2013-08-28 2023-07-18 Becton, Dickinson And Company Massively parallel single cell analysis
US9567645B2 (en) 2013-08-28 2017-02-14 Cellular Research, Inc. Massively parallel single cell analysis
US10208356B1 (en) 2013-08-28 2019-02-19 Becton, Dickinson And Company Massively parallel single cell analysis
US10927419B2 (en) 2013-08-28 2021-02-23 Becton, Dickinson And Company Massively parallel single cell analysis
US10253375B1 (en) 2013-08-28 2019-04-09 Becton, Dickinson And Company Massively parallel single cell analysis
US9905005B2 (en) 2013-10-07 2018-02-27 Cellular Research, Inc. Methods and systems for digitally counting features on arrays
CN105745528A (zh) * 2013-10-07 2016-07-06 赛卢拉研究公司 用于以数字方式对阵列上的特征进行计数的方法和***
WO2015054292A1 (fr) * 2013-10-07 2015-04-16 Cellular Research, Inc. Procédés et systèmes de comptage numérique de zones caractéristiques sur des jeux ordonnés d'échantillons
EP2933017A1 (fr) * 2014-04-17 2015-10-21 AyoxxA Biosystems GmbH Dispositif codé et procédé de codage et de décodage de zones de référence sur un substrat
WO2015158911A1 (fr) * 2014-04-17 2015-10-22 AyoxxA Biosystems GmbH Dispositif codé et procédé de codage et de décodage de zones de référence sur un substrat
US11098358B2 (en) 2015-02-19 2021-08-24 Becton, Dickinson And Company High-throughput single-cell analysis combining proteomic and genomic information
US10697010B2 (en) 2015-02-19 2020-06-30 Becton, Dickinson And Company High-throughput single-cell analysis combining proteomic and genomic information
USRE48913E1 (en) 2015-02-27 2022-02-01 Becton, Dickinson And Company Spatially addressable molecular barcoding
US10002316B2 (en) 2015-02-27 2018-06-19 Cellular Research, Inc. Spatially addressable molecular barcoding
US9727810B2 (en) 2015-02-27 2017-08-08 Cellular Research, Inc. Spatially addressable molecular barcoding
US11535882B2 (en) 2015-03-30 2022-12-27 Becton, Dickinson And Company Methods and compositions for combinatorial barcoding
US11390914B2 (en) 2015-04-23 2022-07-19 Becton, Dickinson And Company Methods and compositions for whole transcriptome amplification
US11124823B2 (en) 2015-06-01 2021-09-21 Becton, Dickinson And Company Methods for RNA quantification
US11332776B2 (en) 2015-09-11 2022-05-17 Becton, Dickinson And Company Methods and compositions for library normalization
US10619186B2 (en) 2015-09-11 2020-04-14 Cellular Research, Inc. Methods and compositions for library normalization
US10822643B2 (en) 2016-05-02 2020-11-03 Cellular Research, Inc. Accurate molecular barcoding
US11845986B2 (en) 2016-05-25 2023-12-19 Becton, Dickinson And Company Normalization of nucleic acid libraries
US10301677B2 (en) 2016-05-25 2019-05-28 Cellular Research, Inc. Normalization of nucleic acid libraries
US11397882B2 (en) 2016-05-26 2022-07-26 Becton, Dickinson And Company Molecular label counting adjustment methods
US11220685B2 (en) 2016-05-31 2022-01-11 Becton, Dickinson And Company Molecular indexing of internal sequences
US10202641B2 (en) 2016-05-31 2019-02-12 Cellular Research, Inc. Error correction in amplification of samples
US10640763B2 (en) 2016-05-31 2020-05-05 Cellular Research, Inc. Molecular indexing of internal sequences
US11525157B2 (en) 2016-05-31 2022-12-13 Becton, Dickinson And Company Error correction in amplification of samples
US11782059B2 (en) 2016-09-26 2023-10-10 Becton, Dickinson And Company Measurement of protein expression using reagents with barcoded oligonucleotide sequences
US10338066B2 (en) 2016-09-26 2019-07-02 Cellular Research, Inc. Measurement of protein expression using reagents with barcoded oligonucleotide sequences
US11467157B2 (en) 2016-09-26 2022-10-11 Becton, Dickinson And Company Measurement of protein expression using reagents with barcoded oligonucleotide sequences
US11460468B2 (en) 2016-09-26 2022-10-04 Becton, Dickinson And Company Measurement of protein expression using reagents with barcoded oligonucleotide sequences
US11164659B2 (en) 2016-11-08 2021-11-02 Becton, Dickinson And Company Methods for expression profile classification
US11608497B2 (en) 2016-11-08 2023-03-21 Becton, Dickinson And Company Methods for cell label classification
US10722880B2 (en) 2017-01-13 2020-07-28 Cellular Research, Inc. Hydrophilic coating of fluidic channels
EP3577443A4 (fr) * 2017-02-01 2020-11-11 Illumina, Inc. Système et procédé à repères de centrage réfléchissants
EP3577441A4 (fr) * 2017-02-01 2020-11-11 Illumina, Inc. Système et procédé à repères de centrage ayant des dispositions décalées
US11427868B2 (en) 2017-02-01 2022-08-30 Illumina, Inc. System and method with fiducials of non-closed shapes
WO2018144567A1 (fr) 2017-02-01 2018-08-09 Illumina, Inc. Système et procédé à repères de centrage dans des dispositions non rectilignes
EP3577440A4 (fr) * 2017-02-01 2020-11-11 Illumina, Inc. Système et procédé à repères de centrage dans des dispositions non rectilignes
EP3576868A4 (fr) * 2017-02-01 2021-03-17 Illumina, Inc. Système et procédé avec repères répondant à de multiples fréquences d'excitation
US11319583B2 (en) 2017-02-01 2022-05-03 Becton, Dickinson And Company Selective amplification using blocking oligonucleotides
US11896944B2 (en) 2017-02-01 2024-02-13 Illumina, Inc. System and method with fiducials responding to multiple excitation frequencies
US11262307B2 (en) 2017-02-01 2022-03-01 Illumina, Inc. System and method with reflective fiducials for locating or registering locations receiving biological samples in successive cycles of fluorescent imaging
CN109416323A (zh) * 2017-02-01 2019-03-01 伊鲁米那股份有限公司 具有反射基准的***和方法
US11249025B2 (en) 2017-02-01 2022-02-15 Illumina, Inc. System and method with fiducials in non-rectilinear layouts
US11835460B2 (en) 2017-02-01 2023-12-05 Illumina, Inc. System and method with fiducials having offset layouts
WO2018144574A1 (fr) 2017-02-01 2018-08-09 Illumina, Inc. Système et procédé à repères de centrage ayant des dispositions décalées
US10669570B2 (en) 2017-06-05 2020-06-02 Becton, Dickinson And Company Sample indexing for single cells
US10676779B2 (en) 2017-06-05 2020-06-09 Becton, Dickinson And Company Sample indexing for single cells
US11946095B2 (en) 2017-12-19 2024-04-02 Becton, Dickinson And Company Particles associated with oligonucleotides
US11773441B2 (en) 2018-05-03 2023-10-03 Becton, Dickinson And Company High throughput multiomics sample analysis
US11365409B2 (en) 2018-05-03 2022-06-21 Becton, Dickinson And Company Molecular barcoding on opposite transcript ends
US11639517B2 (en) 2018-10-01 2023-05-02 Becton, Dickinson And Company Determining 5′ transcript sequences
US11932849B2 (en) 2018-11-08 2024-03-19 Becton, Dickinson And Company Whole transcriptome analysis of single cells using random priming
US11492660B2 (en) 2018-12-13 2022-11-08 Becton, Dickinson And Company Selective extension in single cell whole transcriptome analysis
US11371076B2 (en) 2019-01-16 2022-06-28 Becton, Dickinson And Company Polymerase chain reaction normalization through primer titration
US11661631B2 (en) 2019-01-23 2023-05-30 Becton, Dickinson And Company Oligonucleotides associated with antibodies
US11965208B2 (en) 2019-04-19 2024-04-23 Becton, Dickinson And Company Methods of associating phenotypical data and single cell sequencing data
US11939622B2 (en) 2019-07-22 2024-03-26 Becton, Dickinson And Company Single cell chromatin immunoprecipitation sequencing assay
US11773436B2 (en) 2019-11-08 2023-10-03 Becton, Dickinson And Company Using random priming to obtain full-length V(D)J information for immune repertoire sequencing
US11649497B2 (en) 2020-01-13 2023-05-16 Becton, Dickinson And Company Methods and compositions for quantitation of proteins and RNA
US11661625B2 (en) 2020-05-14 2023-05-30 Becton, Dickinson And Company Primers for immune repertoire profiling
US11932901B2 (en) 2020-07-13 2024-03-19 Becton, Dickinson And Company Target enrichment using nucleic acid probes for scRNAseq
US11739443B2 (en) 2020-11-20 2023-08-29 Becton, Dickinson And Company Profiling of highly expressed and lowly expressed proteins

Also Published As

Publication number Publication date
WO2008096318A3 (fr) 2008-10-30

Similar Documents

Publication Publication Date Title
WO2008096318A2 (fr) Système d'identification
US7998413B2 (en) Biosensor and method of manufacturing biosensor
US7269518B2 (en) Chemical array reading
EP3602629B1 (fr) Biocapteurs pour une analyse biologique ou chimique et leurs procédés de fabrication
US20130225441A1 (en) Integrated semiconductor bioarray
JP2005062187A (ja) 生体分子を多重表面プラズモン共鳴で検出するためのアレイ
JP2010530069A (ja) 標識不使用の結合検出機能と蛍光増幅機能を兼備する格子型センサおよびセンサ用読取りシステム
US20090279093A1 (en) Integrated biosensing device having photo detector
JP2010523973A (ja) バイオセンサのための較正および正規化の方法
JP2009505065A (ja) 標識不使用下での結合検出と蛍光増幅を組合せた格子に基づくセンサー及びセンサー用読取システム
US20150176070A1 (en) Flow cell for biomaterial analysis and biomaterial analysis device
US9551030B2 (en) Filter architecture for analytical devices
US20080161206A1 (en) Biopolymeric array scanners capable of automatic scale factor selection for a plurality of different dyes, and methods for making and using the same
CN112689751A (zh) 具有一个或更多个屏障特征的流通池
US8428398B2 (en) Hand-held portable microarray reader for biodetection
TW200928346A (en) A biosensor device and a method of detecting biological particles
US20040005243A1 (en) Patterned supports for testing, evaluating and calibrating detection devices
WO2023171738A1 (fr) Système d'analyse, plaque, et procédé d'analyse
EP2630468B1 (fr) Dispositif et procédé de détection optique d'analytes
US20070141576A1 (en) Biological chip and use thereof
CN101573620A (zh) 生物测定衬底以及用于生产该衬底的方法和设备
CN103712964A (zh) 光学测量装置和光学测量微芯片
CN1618257A (zh) 测试方法
US20020150925A1 (en) Biochip testing system
CN105510283B (zh) 具样品加热能力的高通量荧光成像***与装置以及相关方法

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 08702579

Country of ref document: EP

Kind code of ref document: A2

NENP Non-entry into the national phase in:

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 08702579

Country of ref document: EP

Kind code of ref document: A2