| Paper Abstract and Keywords |
| Presentation |
2026-08-24 13:45
Identification of mother-daughter relationships in Saccharomyces cerevisiae using a Transformer
Takuto Omori, Toshiyuki Yoshida, Takuma Yokozawa, Masaya Oki (Univ. of Fukui) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
One of approaches used in the research area of epigenetics is to track dividing cells over many generations and evaluate activities of each cell. To perform this approach, the following processing steps are required: segmentation to separate individual cells, matching of identical cells across temporally adjacent images, and estimation of the mother--daughter relationships of dividing cells. With the recent progress in deep learning, various deep-learning-based approaches have been introduced into the field of cell analysis; however, no method has yet been proposed that estimates mother--daughter relationships for Saccharomyces cerevisiae using deep learning. In this study, we therefore propose a Transformer-based method for accurately estimating the mother--daughter relationships in division, and evaluate its effectiveness. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Biomedical cell images / Budding yeast cells / Tracking / Estimation of mother--daughter relationships / Machine learning / Transformer / / |
| Reference Info. |
ITE Tech. Rep., vol. 50, no. 23, ME2026-55, pp. 1-4, Aug. 2026. |
| Paper # |
ME2026-55 |
| Date of Issue |
2026-08-17 (ME) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
ME JSPE-IAIP |
| Conference Date |
2026-08-24 - 2026-08-25 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Nagoya Kasadera Hotel |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
ME |
| Conference Code |
2026-08-ME-IAIP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Identification of mother-daughter relationships in Saccharomyces cerevisiae using a Transformer |
| Sub Title (in English) |
|
| Keyword(1) |
Biomedical cell images |
| Keyword(2) |
Budding yeast cells |
| Keyword(3) |
Tracking |
| Keyword(4) |
Estimation of mother--daughter relationships |
| Keyword(5) |
Machine learning |
| Keyword(6) |
Transformer |
| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Takuto Omori |
| 1st Author's Affiliation |
University of Fukui (Univ. of Fukui) |
| 2nd Author's Name |
Toshiyuki Yoshida |
| 2nd Author's Affiliation |
University of Fukui (Univ. of Fukui) |
| 3rd Author's Name |
Takuma Yokozawa |
| 3rd Author's Affiliation |
University of Fukui (Univ. of Fukui) |
| 4th Author's Name |
Masaya Oki |
| 4th Author's Affiliation |
University of Fukui (Univ. of Fukui) |
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| Speaker |
Author-1 |
| Date Time |
2026-08-24 13:45:00 |
| Presentation Time |
75 minutes |
| Registration for |
ME |
| Paper # |
ME2026-55 |
| Volume (vol) |
vol.50 |
| Number (no) |
no.23 |
| Page |
pp.1-4 |
| #Pages |
4 |
| Date of Issue |
2026-08-17 (ME) |