Method to identify Vomocytosis Events via Time-Lapse Fluorescence Microscopy

is a recently discovered phenomenon in which engulfed fungal pathogens are expelled from autoimmune phagocytes without either cell being destroyed. In order to research this activity, it’s necessary to capture the location and movement of a collection of cells over time. However, existing imaging algorithms used to measure phagocytosis aren’t designed to record pathogens escaping and reentering cells, and thus can’t accurately capture these events. Therefore, the process of cellular identification and tracking must be performed manually, which is both labor intensive and prone to errors. It is important to implement more sophisticated tools to study vomocytosis effectively and further our understanding of immunology and pathology.

Researchers at the University of California, Davis have developed a method that tracks vomocytosis events in time-lapse microscopy videos. Immune cells and fungal pathogens are first fluorescently labeled to differentiate them in software. The method then analyzes a color map of each frame to locate the position of each cell and track its movement over time. Vomocytosis events are identified when there is an overlap between a phagocyte and a pathogen at one time, but they become separated later on after the pathogen is expelled. This method improves the speed and accuracy of analysis compared to manual identification, especially when examining a larger quantity of cells. As a result, this invention has the potential to facilitate research on this topic and greatly improve research capacity related to phagocytosis and cellular release processes.

Abstract
Researchers at the University of California, Davis have developed a method to identify vomocytosis events in time-lapse microscopy videos.

Website

https://techtransfer.universityofcalifornia.edu/NCD/32910.html?utm_source=AUTMGTP&utm_medium=webpage&utm_term=ncdid_32910&utm_campaign=TechWebsites

Contact Information

Name: Raj Gururajan

Email: rgururajan@ucdavis.edu

Phone: 530-754-7637