CBIAS_2021_Poster_17.pdf

<p>  </p> <p><strong>Method and software for model-based artifact correction in time-lapse fluorescence microscopy images</strong></p> <p><br></p> <p>_{<strong>(Presented in CBIAS 2021 Conference in Francis Crick Institute, 22-23 November 2021)</strong>}</p> <p><br></p> <p>Time-lapse microscopy (TLM) is a widely used method for studying dynamic biochemical and morphological responses in biological systems. </p> <p><br></p> <p>Unfortunately, fluorescence images often suffer from hardware-dependent intensity artifacts that degrade the quality of the image data.</p> <p><br></p> <p>Starting from a general fluorescence image formation model, we have designed several artifact correction methods addressing the most common practical cases. </p> <p><br></p> <p>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. </p> <p><br></p> <p>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.</p>