Protocol for cellular age prediction in yeast and human single cells using transfer learning
Summary: Here, we present a protocol for predicting cellular age via computer vision analysis of cellular morphology and aging-related bioactivities from phase contrast microscopy images. We describe the steps for cultivating yeast cells, performing phase contrast microscopy of drug-treated yeast ce...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Series: | STAR Protocols |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666166725004290 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849768138634166272 |
|---|---|
| author | Subhadeep Duari Vishakha Gautam Gaurav Ahuja |
| author_facet | Subhadeep Duari Vishakha Gautam Gaurav Ahuja |
| author_sort | Subhadeep Duari |
| collection | DOAJ |
| description | Summary: Here, we present a protocol for predicting cellular age via computer vision analysis of cellular morphology and aging-related bioactivities from phase contrast microscopy images. We describe the steps for cultivating yeast cells, performing phase contrast microscopy of drug-treated yeast cells, and inducing senescence in human dermal fibroblasts. We detail the process of using the scCamAge Docker container, running the scCamAge model, applying the yeast-trained model to senescent human fibroblasts, and performing transfer learning to adapt scCamAge using human fibroblast data.For complete details on the use and execution of this protocol, please refer to Gautam et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. |
| format | Article |
| id | doaj-art-ab18e4a7f21b4585955955ccca2c88a3 |
| institution | DOAJ |
| issn | 2666-1667 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | STAR Protocols |
| spelling | doaj-art-ab18e4a7f21b4585955955ccca2c88a32025-08-20T03:03:55ZengElsevierSTAR Protocols2666-16672025-09-016310402310.1016/j.xpro.2025.104023Protocol for cellular age prediction in yeast and human single cells using transfer learningSubhadeep Duari0Vishakha Gautam1Gaurav Ahuja2Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi 110020, IndiaDepartment of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi 110020, IndiaDepartment of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi 110020, India; Infosys Centre for AI, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi 110020, India; Corresponding authorSummary: Here, we present a protocol for predicting cellular age via computer vision analysis of cellular morphology and aging-related bioactivities from phase contrast microscopy images. We describe the steps for cultivating yeast cells, performing phase contrast microscopy of drug-treated yeast cells, and inducing senescence in human dermal fibroblasts. We detail the process of using the scCamAge Docker container, running the scCamAge model, applying the yeast-trained model to senescent human fibroblasts, and performing transfer learning to adapt scCamAge using human fibroblast data.For complete details on the use and execution of this protocol, please refer to Gautam et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.http://www.sciencedirect.com/science/article/pii/S2666166725004290Cell BiologyComputer sciences |
| spellingShingle | Subhadeep Duari Vishakha Gautam Gaurav Ahuja Protocol for cellular age prediction in yeast and human single cells using transfer learning STAR Protocols Cell Biology Computer sciences |
| title | Protocol for cellular age prediction in yeast and human single cells using transfer learning |
| title_full | Protocol for cellular age prediction in yeast and human single cells using transfer learning |
| title_fullStr | Protocol for cellular age prediction in yeast and human single cells using transfer learning |
| title_full_unstemmed | Protocol for cellular age prediction in yeast and human single cells using transfer learning |
| title_short | Protocol for cellular age prediction in yeast and human single cells using transfer learning |
| title_sort | protocol for cellular age prediction in yeast and human single cells using transfer learning |
| topic | Cell Biology Computer sciences |
| url | http://www.sciencedirect.com/science/article/pii/S2666166725004290 |
| work_keys_str_mv | AT subhadeepduari protocolforcellularagepredictioninyeastandhumansinglecellsusingtransferlearning AT vishakhagautam protocolforcellularagepredictioninyeastandhumansinglecellsusingtransferlearning AT gauravahuja protocolforcellularagepredictioninyeastandhumansinglecellsusingtransferlearning |