METHOD FOR ANALYSING THE BEHAVIOR OF CELLS, DEVICE AND PROGRAM
Patent Information
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- TEIKYO UNIVERSITY
- Filing Date
- 2019-06-19
- Publication Date
- 2026-06-10
AI Technical Summary
Existing methods for tracking and analyzing the locomotion speed of cells, particularly human epidermal keratinocytes, are labor-intensive and lack precision, especially in high cell density conditions, making it difficult to identify keratinocyte stem cells and evaluate culture conditions effectively.
A computer-implemented method using a dictionary of cell nuclei images, deep learning, and a state space model with a Kalman filter to automatically track and calculate the locomotion speed of cells, enabling precise identification of high-proliferative cells.
Enables automated, non-invasive monitoring of cell behavior, allowing detection of cells with reduced proliferative capacity and identifying suitable keratinocyte stem cells, facilitating quality control and optimization of culture conditions in regeneration medicine.