FluoroCellTrack: An algorithm for automated analysis of high-throughput droplet microfluidic data.

ABSTRACT: High-throughput droplet microfluidic devices with fluorescence detection systems provide several advantages over conventional end-point cytometric techniques due to their ability to isolate single cells and investigate complex intracellular dynamics. While there have been significant advances in the field of experimental droplet microfluidics, the development of complementary software tools has lagged. Existing quantification tools have limitations including interdependent hardware platforms or challenges analyzing a wide range of high-throughput droplet microfluidic data using a single algorithm. To address these issues, an all-in-one Python algorithm called FluoroCellTrack was developed and its wide-range utility was tested on three different applications including quantification of cell

SUBMITTER: Vaithiyanathan M 

PROVIDER: S-EPMC6493727 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature