Protocol for the detection of large dense-core vesicle exocytosis using an automated image-processing algorithm
Aishwarya Makam, Vishnu Ramadas, Anly Tollan, Ishan Bhattacharyya, Abhimanyu Dubey, Nikhil R Gandasi · 2025
Read Protocol for the detection of large dense-core vesicle exocytosis using an automated image-processing algorithm by Aishwarya Makam, Vishnu Ramadas, Anly Tollan, Ishan Bhattacharyya, Abhimanyu Dubey, Nikhil R Gandasi (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12756630.txt.
Description
Cells in the pancreas release insulin from tiny sacs, and watching that release under a microscope is hard. Aishwarya Makam and co-authors offer a step-by-step protocol, published in 2025, for catching the event on camera and letting a computer do the counting. Their method tracks large dense-core vesicles, the sacs that carry insulin, as they fuse with the cell surface.
The protocol covers how to prepare human islet cells, how to film them with a high-detail method called TIRF microscopy, and how to run the tracking software. The team checked the software against math models, test beads, and real cell images. Because the steps are automated, the method can handle large sets of images. That makes it a fit for labs that screen many samples at once.
Catalog record
| CREATOR | Aishwarya Makam, Vishnu Ramadas, Anly Tollan, Ishan Bhattacharyya, Abhimanyu Dubey, Nikhil R Gandasi |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |