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Morphomics via next-generation electron microscopy
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作者 Raku Son Kenji Yamazawa +5 位作者 Akiko Oguchi Mitsuo Suga Masaru Tamura Motoko Yanagita Yasuhiro Murakawa Satoshi Kume 《Journal of Molecular Cell Biology》 SCIE CAS CSCD 2023年第12期12-27,共16页
The living body is composed of innumerable fine and complex structures.Although these structures have been studied in the past,a vast amount of information pertaining to them still remains unknown.When attempting to o... The living body is composed of innumerable fine and complex structures.Although these structures have been studied in the past,a vast amount of information pertaining to them still remains unknown.When attempting to observe these ultra-structures,the use of electron microscopy(EM)has become indispensable.However,conventional EM settings are limited to a narrow tissue area,which can bias observations.Recently,new trends in EM research have emerged,enabling coverage of far broader,nano-scale fields of view for two-dimensional wide areas and three-dimensional large volumes.Moreover,cutting-edge bioimage informatics conducted via deep learning has accelerated the quantification of complex morphological bioimages.Taken together,these technological and analytical advances have led to the comprehensive acquisition and quantification of cellular morphology,which now arises as a new omics science termed‘morphomics’. 展开更多
关键词 comprehensive morphological analysis next-generation electron microscopy 3D bioimaging imaging database deep learning
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