Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images
Pan, Fei, Wu, Yutong, Cui, Kangning, Chen, Shuxun, Li, Yanfang, Liu, Yaofang, Shakoor, Adnan, Zhao, Han, Lu, Beijia, Zhi, Shaohua, Chan, Raymond, Sun, Dong
–arXiv.org Artificial Intelligence
The cell, the fundamental unit of life, is a complex of material metabolism, energy conversion, and information regulation. For a typical cell, whether a bacterial or an animal cell, water accounts for about 70% of its weight, which causes it transparent [1]. Consequently, when such a cell is observed under a bright-field microscope, the contrast is very weak, leading to poor image quality. So, it is best to use a phase contrast microscope or a differential interference contrast (DIC) microscope to observe live cells. The former, a phase contrast microscope, reveals more detail of a cell's internal structures and discerns its attachments to nearby cells. While the latter, a DIC microscope, provides pseudo-three-dimensional images with a shadow-cast appearance. In addition to these two imaging modes, fluorescence microscopy is a commonly used approach for observing specific macromolecules, such as proteins and nucleic acids in cells in modern biological laboratories [2]. In a fluorescence microscope, a short-wavelength excitation light passing through the excitation filter irradiates the fluorescent molecules (fluorophores) marked in the sample to generate visible light of a particular wavelength that can be seen by the viewer or digitally captured using a complementary metal oxide semiconductor (CMOS) or charge-coupled device (CCD).
arXiv.org Artificial Intelligence
Jan-26-2023
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