Quantifying Intracellular Particle Flows by DIC Object Tracking.

ABSTRACT: Label-free imaging techniques such as differential interference contrast (DIC) allow the observation of cells and large subcellular structures in their native, unperturbed states with minimal exposure to light. The development of robust computational image-analysis routines is vital to quantitative label-free imaging. The reliability of quantitative analysis of time-series microscopy data based on single-particle tracking relies on accurately detecting objects as distinct from the background, i.e., segmentation. Typical approaches to segmenting DIC images either involve converting images to those resembling phase contrast, mimicking the optics of DIC object formation, or using the morphological properties of objects. Here, we describe MATLAB based, single-particle tracking tool with a GUI

SUBMITTER: Chaphalkar AR 

PROVIDER: S-EPMC7895994 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature