EP4728471A2 - Verfahren und system zur multimodalen subzellularen segmentierung - Google Patents
Verfahren und system zur multimodalen subzellularen segmentierungInfo
- Publication number
- EP4728471A2 EP4728471A2 EP24824082.2A EP24824082A EP4728471A2 EP 4728471 A2 EP4728471 A2 EP 4728471A2 EP 24824082 A EP24824082 A EP 24824082A EP 4728471 A2 EP4728471 A2 EP 4728471A2
- Authority
- EP
- European Patent Office
- Prior art keywords
- images
- segmentation
- cells
- image
- biological sample
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B25/00—ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
- G16B25/10—Gene or protein expression profiling; Expression-ratio estimation or normalisation
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10056—Microscopic image
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10064—Fluorescence image
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30096—Tumor; Lesion
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- Public Health (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Genetics & Genomics (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Radiology & Medical Imaging (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Pathology (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Biotechnology (AREA)
- Evolutionary Biology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202363507824P | 2023-06-13 | 2023-06-13 | |
| PCT/US2024/033630 WO2024258979A2 (en) | 2023-06-13 | 2024-06-12 | Method and system of multi-modal sub-cellular segmentation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP4728471A2 true EP4728471A2 (de) | 2026-04-22 |
Family
ID=93852876
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP24824082.2A Pending EP4728471A2 (de) | 2023-06-13 | 2024-06-12 | Verfahren und system zur multimodalen subzellularen segmentierung |
Country Status (5)
| Country | Link |
|---|---|
| EP (1) | EP4728471A2 (de) |
| KR (1) | KR20260022393A (de) |
| CN (1) | CN121569321A (de) |
| AU (1) | AU2024304188A1 (de) |
| WO (1) | WO2024258979A2 (de) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN120125582B (zh) * | 2025-05-13 | 2026-04-10 | 大熊(天津)医疗科技有限公司 | 一种医学细胞检测方法 |
| CN120178493B (zh) * | 2025-05-22 | 2025-08-15 | 北京心联光电科技有限公司 | 抗水凝胶中荧光微球干扰的细胞自动对焦方法、系统 |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8995740B2 (en) * | 2013-04-17 | 2015-03-31 | General Electric Company | System and method for multiplexed biomarker quantitation using single cell segmentation on sequentially stained tissue |
| CN114902342A (zh) * | 2019-10-18 | 2022-08-12 | 纳米线科技公司 | 用于表达谱分析的空间映射的系统和方法 |
| WO2021176275A1 (en) * | 2020-03-05 | 2021-09-10 | Insightec, Ltd. | Differential prediction of aberration corrections for ultrasound therapy |
-
2024
- 2024-06-12 EP EP24824082.2A patent/EP4728471A2/de active Pending
- 2024-06-12 CN CN202480039614.2A patent/CN121569321A/zh active Pending
- 2024-06-12 KR KR1020267000485A patent/KR20260022393A/ko active Pending
- 2024-06-12 WO PCT/US2024/033630 patent/WO2024258979A2/en not_active Ceased
- 2024-06-12 AU AU2024304188A patent/AU2024304188A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| KR20260022393A (ko) | 2026-02-19 |
| WO2024258979A2 (en) | 2024-12-19 |
| AU2024304188A1 (en) | 2025-11-13 |
| CN121569321A (zh) | 2026-02-24 |
| WO2024258979A3 (en) | 2025-02-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11901077B2 (en) | Multiple instance learner for prognostic tissue pattern identification | |
| JP7583041B2 (ja) | 組織画像分類用のマルチインスタンス学習器 | |
| US11836895B2 (en) | Deep-learning based structure reconstruction method and apparatus | |
| JP7201681B2 (ja) | 単一チャネル全細胞セグメンテーションのためのシステム及び方法 | |
| Sirinukunwattana et al. | Gland segmentation in colon histology images: The glas challenge contest | |
| Chen et al. | A flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matching | |
| AU2024304188A1 (en) | Method and system of multi-modal sub-cellular segmentation | |
| Sbalzarini | Seeing is believing: quantifying is convincing: computational image analysis in biology | |
| CN116797791B (zh) | 一种基于深度学习的线粒体分割与分类方法 | |
| Chai et al. | Characterizing robustness and sensitivity of convolutional neural networks for quantitative analysis of mitochondrial morphology | |
| Bošnački et al. | Deep learning with convolutional neural networks for histopathology image analysis | |
| Ahmad et al. | Fusion of metadata and dermoscopic images for melanoma detection: Deep learning and feature importance analysis | |
| Niyogisubizo et al. | Attention-guided residual U-Net with SE connection and ASPP for watershed-based cell segmentation in microscopy images | |
| Chen et al. | Underwater target detection algorithm based on multi-scale feature fusion | |
| Friebel et al. | Guided interactive image segmentation using machine learning and color-based image set clustering | |
| Lee et al. | Enhancing high-content imaging for studying microtubule networks at large-scale | |
| Shchechkin | Recent Trends of Fluorescence Lifetime Imaging Microscopy Analysis Using Machine Learning | |
| EP4533343A2 (de) | Informatikintegrationsportal für räumliche biologie mit programmierbarem maschinenlernpipeline-orchestrator | |
| Nogueira | Determining leishmania infection levels by automatic analysis of microscopy images | |
| Sánchez-Torres et al. | A Comparative Analysis of Machine Learning and Deep Learning Approaches for Multiclass Nucleus Classification in Histological Images | |
| CN121582926B (en) | Cell segmentation method, device, storage medium and program product based on space histology sequencing | |
| Li et al. | MA-KANet: Enhancing retinal vessel segmentation through multi-scale feature fusion and attention mechanisms | |
| DIETZ et al. | Single-Molecule Localization Microscopy: From Imaging Cellular Structures to Quantitative Image Analysis | |
| Jabar et al. | Fully Automatic Content-Aware Tiling Pipeline for Pathology Whole Slide Images | |
| Han | Towards accurate and efficient live cell imaging data analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: THE INTERNATIONAL PUBLICATION HAS BEEN MADE |
|
| PUAI | Public reference made under article 153(3) epc to a published international application that has entered the european phase |
Free format text: ORIGINAL CODE: 0009012 |
|
| STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: REQUEST FOR EXAMINATION WAS MADE |
|
| 17P | Request for examination filed |
Effective date: 20251113 |
|
| AK | Designated contracting states |
Kind code of ref document: A2 Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC ME MK MT NL NO PL PT RO RS SE SI SK SM TR |