CBIAS_2021_Poster_17.pdf

Alexandrov, Yuriy; Kumar, Sunil; Smith, Jonathan; Fedoryshchak, Roman; Valand, Karishma; Le Marois, Alix; Dunsby, Christopher; French, Paul

doi:10.25418/crick.19626810.v1

CBIAS_2021_Poster_17.pdf

poster

posted on 2022-04-21, 14:10 authored by Yuriy AlexandrovYuriy Alexandrov, Sunil KumarSunil Kumar, Jonathan SmithJonathan Smith, Roman FedoryshchakRoman Fedoryshchak, Karishma ValandKarishma Valand, Alix Le MaroisAlix Le Marois, Christopher DunsbyChristopher Dunsby, Paul FrenchPaul French

Method and software for model-based artifact correction in time-lapse fluorescence microscopy images

_{(Presented in CBIAS 2021 Conference in Francis Crick Institute, 22-23 November 2021)}

Time-lapse microscopy (TLM) is a widely used method for studying dynamic biochemical and morphological responses in biological systems.

Unfortunately, fluorescence images often suffer from hardware-dependent intensity artifacts that degrade the quality of the image data.

Starting from a general fluorescence image formation model, we have designed several artifact correction methods addressing the most common practical cases.

The proposed techniques may correct images for XY-dependent artifacts, including excitation non-uniformity, optical vignetting, and stray light, as well as time-dependent artifacts, e.g., arising from excitation light source power variations during a time course and inherent photobleaching of cell culture medium.

We have implemented these methods in a convenient open-source, cross-platform MATLAB software tool with GUI, aiming to make TLM image data more amenable for further quantitative analysis.