| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2025-05-08 |
| タイトル |
|
|
タイトル |
OrgaMeas: A pipeline that integrates all the processes of organelle image analysis |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Organelle |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Image analysis |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Artificial intelligence |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Deep learning |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 著者 |
Baba, Taiki
Inoue, Akimi
Tanimura, Susumu
Takeda, Kohsuke
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Although image analysis has emerged as a key technology in the study of organelle dynamics, the commonly used image-processing methods, such as threshold-based segmentation and manual setting of regions of interests (ROIs), are error-prone and laborious. Here, we present a highly accurate high-throughput image analysis pipeline called OrgaMeas for measuring the morphology and dynamics of organelles. This pipeline mainly consists of two deep learning-based tools: OrgaSegNet and DIC2Cells. OrgaSegNet quantifies many aspects of different organelles by precisely segmenting them. To further process the segmented data at a single-cell level, DIC2Cells automates ROI settings through accurate segmentation of individual cells in differential interference contrast (DIC) images. This pipeline was designed to be low cost and require less coding, to provide an easy-to-use platform. Thus, we believe that OrgaMeas has potential to be readily applied to basic biomedical research, and hopefully to other practical uses such as drug discovery. |
|
言語 |
en |
| 書誌情報 |
en : Biochimica et Biophysica Acta (BBA) - Molecular Cell Research
巻 1872,
号 5,
p. art. no. 119964,
発行日 2025-04-24
|
| 出版者 |
|
|
出版者 |
Elsevier B.V. |
|
言語 |
en |
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
01674889 |
| DOI |
|
|
関連タイプ |
isIdenticalTo |
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
10.1016/j.bbamcr.2025.119964 |
| 権利 |
|
|
権利情報 |
© 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). |
|
言語 |
en |
| 著者版フラグ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 引用 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
Biochimica et Biophysica Acta - Molecular Cell Research, 1872(5), art. no. 119964; 2025 |
|
言語 |
en |
BBMCR1872_119964.pdf (7.8 MB)
