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Detection of nuclei in 4D Nomarski DIC microscope images of early Caenorhabditis elegans embryos using local image entropy and object tracking |
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| Authors: | Shugo?Hamahashi,Shuichi?Onami author-information" > author-information__contact u-icon-before" > mailto:sonami@bio.keio.ac.jp" title=" sonami@bio.keio.ac.jp" itemprop=" email" data-track=" click" data-track-action=" Email author" data-track-label=" " >Email author,Hiroaki?Kitano |
| Affiliation: | (1) Kitano Symbiotic Systems Project, ERATO, Japan Science and Technology Corporation, M31 6A, 6-31-15 Jingumae, Shibuya Tokyo, 150-0001, Japan;(2) Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku Yokohama, 223-8522, Japan;(3) Institute for Bioinformatics Research and Development (BIRD), Japan Science and Technology Agency, 5-3 Yonbancho, Chiyoda Tokyo, 102-0081, Japan;(4) Sony Computer Science Laboratories, Inc., 3-14-13 Higashi-Gotanda, Shinagawa Tokyo, 141-0022, Japan |
| Abstract: | BackgroundThe ability to detect nuclei in embryos is essential for studying the development of multicellular organisms. A system of automated nuclear detection has already been tested on a set of four-dimensional (4D) Nomarski differential interference contrast (DIC) microscope images of Caenorhabditis elegans embryos. However, the system needed laborious hand-tuning of its parameters every time a new image set was used. It could not detect nuclei in the process of cell division, and could detect nuclei only from the two- to eight-cell stages. |
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