@inproceedings{7c728e406990409da8b136ea70e97fba,
title = "Computational removal of background fluorescence for biological fluorescence microscopy",
abstract = "Background fluorescence is a frequently encountered problem in biological fluorescence microscopy. It often significantly lowers the image signal-to-noise ratio and poses substantial challenges to subsequent computational image analysis. Here we propose a general computational method for separating and removing background fluorescence from a single fluorescence microscopy image. The method is formulated as solving a constrained convex optimization problem and assumes that the background signal is low-rank and additive to the sparse foreground signal. Solution of the optimization problem is found using a forward-backward algorithm. Our method only requires a single image and can be used in a broad range of biological fluorescence applications. We first validate performance of our method using synthetic image data. We then demonstrate applications of the method to actual biological image data.",
keywords = "Background removal, Fluorescence microscopy, Kymograph, Low-rank approximation",
author = "Lee, \{Hao Chih\} and Ge Yang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 ; Conference date: 29-04-2014 Through 02-05-2014",
year = "2014",
month = jul,
day = "29",
doi = "10.1109/isbi.2014.6867845",
language = "English",
series = "2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "205--208",
booktitle = "2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014",
address = "United States",
}