Integrative analysis of T cell motility from multi-channel microscopy data using TIAM.

ABSTRACT: Integrative analytical approaches are needed to study and understand T cell motility as it is a highly coordinated and complex process. Several computational algorithms and tools are available to track motile cells in time-lapse microscopy images. In contrast, there has only been limited effort towards the development of tools that take advantage of multi-channel microscopy data and facilitate integrative analysis of cell-motility. We have implemented algorithms for detecting, tracking, and analyzing cell motility from multi-channel time-lapse microscopy data. We have integrated these into a MATLAB-based toolset we call TIAM (Tool for Integrative Analysis of Motility). The cells are detected by a hybrid approach involving edge detection and Hough transforms from transmitted light images. C

SUBMITTER: Mayya V 

PROVIDER: S-EPMC4323926 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature