Document Type
Article
Publication Date
Winter 2-8-2023
Abstract
Due to advances in microscopic imaging, there are a plethora of biological molecules that can now be tagged and subsequentially imaged from almost any cell, organism, or tissue. However, the ability of software to analyze these images remains to be a challenge. ImageJ is open source software that allows for the processing of these images, but faces challenges when dealing with images that show weak contrast between objects of interest and background. DeutJ is an ImageJ plugin that color corrects and brightness corrects gradients that inhibit segmentation in confocal microscopy images. It can analyze hundreds of images from a given folder and produces binary mask images that are superior to existing ImageJ functions.
Original Citation
Cui, S. (2023). DeutJ: An ImageJ plugin for improved automatic masking and segmentation of images from confocal microscopy. Journal of Bioinformatics and Sequence Analysis, 13(1), 1-5.
Dartmouth Digital Commons Citation
Cui, Sunny, "DeutJ: An ImageJ plugin for improved automatic masking and segmentation of images from confocal microscopy" (2023). Independent Student Projects and Publications. 7.
https://digitalcommons.dartmouth.edu/student_projects/7
Included in
Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons, Bioimaging and Biomedical Optics Commons, Biomedical Devices and Instrumentation Commons, Vision Science Commons
