Automatic segmentation of skin cells in multiphoton data using multi-stage merging

• Main Authors: Prinke, Philipp, Haueisen, Jens, Klee, Sascha, Rizqie, Muhammad Qurhanul, Supriyanto, Eko, Konig, Karsten, Breunig, Hans Georg, Piatek, Lukasz
• Format: Article
• Language: English
• Published: Nature Research 2021
• Subjects: QD Chemistry; QH Natural history
• Online Access: http://eprints.utm.my/id/eprint/94208/1/EkoSupriyanto2021_AutomaticSegmentationofSkinCells.pdf; http://eprints.utm.my/id/eprint/94208/; http://dx.doi.org/10.1038/s41598-021-93682-y
• Institution: Universiti Teknologi Malaysia

We propose a novel automatic segmentation algorithm that separates the components of human skin cells from the rest of the tissue in fluorescence data of three-dimensional scans using non-invasive multiphoton tomography. The algorithm encompasses a multi-stage merging on preprocessed superpixel imag...