Cell type identification method, cell type identification system, and model generation method
The method and system use refractive index data to discriminate hematopoietic cell types without labeling or isolation, addressing cost and stress issues in existing techniques, enhancing classification for regenerative medicine and blood tests.
WO2026033925A1PCT designated stage Publication Date: 2026-02-12HAMAMATSU PHOTONICS KK +1
Patent Information
- Application Number
- PCT/JP2025/016109
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-08-09
- Filing Date
- 2025-04-25
- Publication Date
- 2026-02-12
AI Technical Summary
Technical Problem
Existing cell analysis and isolation techniques for hematopoietic cells, such as FACS, are costly, time-consuming, and apply mechanical stress, potentially damaging the cells.
Method used
A method and system that discriminates hematopoietic cell types based on three-dimensional refractive index data, using optical diffraction tomography to minimize mechanical stress and reduce costs by avoiding labeling and isolation processes.
Benefits of technology
Enables accurate discrimination of hematopoietic cell types at low cost and with minimal mechanical stress, facilitating effective classification for regenerative medicine and blood tests.
✦ Generated by Eureka AI based on patent content.
Smart Images

Figure JP2025016109_12022026_PF_FP_ABST
Abstract
The present invention identifies hematopoietic cell types at low cost under low mechanical stress to hematopoietic cells. This cell type identification method comprises: an acquisition step (S01) for acquiring refractive index data representing three-dimensional refractive index values including the values for portions containing hematopoietic cells; a feature calculation step (S02) for extracting, as a portion associated with a hematopoietic cell, a portion of which the refractive index value represented by the refractive index data acquired in the acquisition step is greater than a preset refractive index value, and calculating the feature of the extracted portion; and a type identification step (S03) for identifying the type of the hematopoietic cell from the feature calculated in the feature calculation step on the basis of an identification model prepared in advance.
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Citation Information
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