FR3130381B1 - Detection of organized type renal glomerular immune deposits by polarized Raman spectroscopy - Google Patents
Detection of organized type renal glomerular immune deposits by polarized Raman spectroscopy Download PDFInfo
- Publication number
- FR3130381B1 FR3130381B1 FR2113596A FR2113596A FR3130381B1 FR 3130381 B1 FR3130381 B1 FR 3130381B1 FR 2113596 A FR2113596 A FR 2113596A FR 2113596 A FR2113596 A FR 2113596A FR 3130381 B1 FR3130381 B1 FR 3130381B1
- Authority
- FR
- France
- Prior art keywords
- organized type
- renal
- immune deposits
- detection
- organized
- Prior art date
- Legal status (The legal status 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 status listed.)
- Active
Links
- 230000001434 glomerular Effects 0.000 title abstract 2
- 238000001514 detection method Methods 0.000 title 1
- 238000002455 polarised Raman spectroscopy Methods 0.000 title 1
- 238000001237 Raman spectrum Methods 0.000 abstract 5
- 238000011862 kidney biopsy Methods 0.000 abstract 4
- 230000003595 spectral effect Effects 0.000 abstract 3
- 238000001530 Raman microscopy Methods 0.000 abstract 1
- 238000000034 method Methods 0.000 abstract 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/47—Scattering, i.e. diffuse reflection
- G01N2021/4792—Polarisation of scatter light
Landscapes
- Health & Medical Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
Il est proposé un procédé de détection de dépôts immuns glomérulaires rénaux de type organisé sur une biopsie rénale, comprenant : l’acquisition d’une image spectrale de la biopsie rénale par microspectroscopie Raman polarisée, l’image spectrale étant formée d’un ensemble de pixels où chaque pixel correspond à un spectre Raman obtenu sur un point correspondant de la biopsie rénale, la sélection, parmi l’ensemble des spectres Raman formant l’image spectrale acquise, d’un sous-ensemble de spectres Raman provenant de glomérules rénaux, la détermination, pour chaque spectre Raman, de la présence ou l’absence de dépôt immun de type organisé, et en fonction du nombre de spectres Raman pour lequel la présence de dépôts immuns de type organisé a été déterminée, détermination de la présence ou l’absence de dépôts immuns de type organisée pour la biopsie rénale considérée. Figure de l’abrégé : Figure 4A method is proposed for detecting renal glomerular immune deposits of the organized type on a renal biopsy, comprising: acquiring a spectral image of the renal biopsy by polarized Raman microspectroscopy, the spectral image being formed from a set of pixels where each pixel corresponds to a Raman spectrum obtained on a corresponding point of the renal biopsy, the selection, among the set of Raman spectra forming the acquired spectral image, of a subset of Raman spectra coming from renal glomeruli, determining, for each Raman spectrum, the presence or absence of organized type immune deposit, and depending on the number of Raman spectra for which the presence of organized type immune deposits was determined, determining the presence or absence of immune deposits of organized type for the renal biopsy considered. Abstract Figure: Figure 4
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| FR2113596A FR3130381B1 (en) | 2021-12-15 | 2021-12-15 | Detection of organized type renal glomerular immune deposits by polarized Raman spectroscopy |
| PCT/FR2022/052376 WO2023111467A1 (en) | 2021-12-15 | 2022-12-15 | Detection of organised-type renal glomerular immune deposits by polarised raman spectroscopy |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| FR2113596 | 2021-12-15 | ||
| FR2113596A FR3130381B1 (en) | 2021-12-15 | 2021-12-15 | Detection of organized type renal glomerular immune deposits by polarized Raman spectroscopy |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| FR3130381A1 FR3130381A1 (en) | 2023-06-16 |
| FR3130381B1 true FR3130381B1 (en) | 2023-12-15 |
Family
ID=80448742
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| FR2113596A Active FR3130381B1 (en) | 2021-12-15 | 2021-12-15 | Detection of organized type renal glomerular immune deposits by polarized Raman spectroscopy |
Country Status (2)
| Country | Link |
|---|---|
| FR (1) | FR3130381B1 (en) |
| WO (1) | WO2023111467A1 (en) |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005104702A2 (en) * | 2004-04-23 | 2005-11-10 | Renal Diagnostic, Inc. | An automated non- invasive real-time acute renal failure detection system |
| WO2009035942A1 (en) * | 2007-09-13 | 2009-03-19 | Chemimage Corporation | Distinguishing between renal oncocytoma and chromophobe renal cell carcinoma using raman molecular imaging |
-
2021
- 2021-12-15 FR FR2113596A patent/FR3130381B1/en active Active
-
2022
- 2022-12-15 WO PCT/FR2022/052376 patent/WO2023111467A1/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| WO2023111467A1 (en) | 2023-06-22 |
| FR3130381A1 (en) | 2023-06-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ranjan et al. | Dataset: rare event classification in multivariate time series | |
| US11461390B2 (en) | Automated cover song identification | |
| US8787633B2 (en) | System and method of organism identification | |
| Yoon et al. | Hyperspectral imaging for differentiating colonies of non-0157 Shiga-toxin producing Escherichia coli (STEC) serogroups on spread plates of pure cultures | |
| MX2007000064A (en) | Automatic background removal for input data. | |
| WO2007056568A3 (en) | Spectral imaging of biofilms | |
| FR3094907B1 (en) | Abrasion process | |
| FR3130381B1 (en) | Detection of organized type renal glomerular immune deposits by polarized Raman spectroscopy | |
| Bonah et al. | Application of hyperspectral imaging as a nondestructive technique for foodborne pathogen detection and characterization | |
| FR3090167B1 (en) | A method for improving the accuracy of a convolutional neural network training image dataset for loss prevention applications | |
| CN112098340A (en) | Turquoise identification method based on hyperspectral imaging technology and assembly line process | |
| CN108007912A (en) | Middle-low alloy steels analytical equipment, correction analysis method and authenticity of medicament decision-making system | |
| US10746658B1 (en) | Method for material identification with laser induced breakdown spectroscopy (LIBS) | |
| FR3088755B1 (en) | IMAGE DEFLOUT PROCESS | |
| WO2018103541A1 (en) | Raman spectrum detection method and electronic apparatus for removing solvent perturbation | |
| KR20190054744A (en) | Gas detection method using SVM classifier | |
| FR3112413B1 (en) | Electronic device and data processing method based on invertible generative networks, electronic detection system and associated computer program | |
| CN113970531A (en) | Method for correcting spectrum | |
| Cai et al. | Deep metric learning framework combined with Gramian angular difference field image generation for Raman spectra classification based on a handheld Raman spectrometer | |
| Chen et al. | Modeling method and miniaturized wavelength strategy for near-infrared spectroscopic discriminant analysis of soy sauce brand identification | |
| CN110501346B (en) | Quality detection system based on multispectral image acquisition technology | |
| FR3122925B1 (en) | Device for detecting and characterizing a laser treatment singularity of a surface and an associated method | |
| Agatonovic-Kustrin et al. | Application of diffuse reflectance infrared Fourier transform spectroscopy combined with artificial neural networks in analysing enantiomeric purity of terbutaline sulphate bulk drug | |
| CA2480073A1 (en) | Method for time synchronization of information measured by means of imaging | |
| FR3076617B1 (en) | HOLOGRAPHIC IMAGING SYSTEM AND HOLOGRAPHIC IMAGING ANALYSIS METHOD WITH DETECTION OF FAULTS IN THE OBSERVATION CHAMBER |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PLFP | Fee payment |
Year of fee payment: 2 |
|
| PLSC | Publication of the preliminary search report |
Effective date: 20230616 |
|
| PLFP | Fee payment |
Year of fee payment: 3 |