Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Honghan, Li"'
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 8, p e1012312 (2024)
Cells exhibit various morphological characteristics due to their physiological activities, and changes in cell morphology are inherently accompanied by the assembly and disassembly of the actin cytoskeleton. Stress fibers are a prominent component of
Externí odkaz:
https://doaj.org/article/1b5d1fd1b598470a93255019a0c1fff5
We propose an image-based cellular contractile force evaluation method using a machine learning technique. We use a special substrate that exhibits wrinkles when cells grab the substrate and contract, and the wrinkles can be used to visualize the for
Externí odkaz:
http://arxiv.org/abs/1908.08631
Autor:
Honghan Li, Daiki Matsunaga, Tsubasa S. Matsui, Hiroki Aosaki, Genki Kinoshita, Koki Inoue, Amin Doostmohammadi, Shinji Deguchi
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-9 (2022)
A deep learning approach, termed wrinkle force microscopy, allows for conducting traction force microscopy by observing bright-field cell images but without using its conventional requirements such as fluorescent microbeads and confocal microscopy.
Externí odkaz:
https://doaj.org/article/c76434e78fae445c90be394666290aed
Publikováno v:
Seibutsu Butsuri. 62:246-249
Cells exhibit various morphological characteristics due to their physiological activities, and changes in cell morphology are inherently accompanied by the assembly and disassembly of the actin cytoskeleton. Stress fibers are a prominent component of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cb8e73d4191cfeb88c1390f0554d04f
https://doi.org/10.1101/2023.01.12.523863
https://doi.org/10.1101/2023.01.12.523863
Publikováno v:
Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi
OBJECTIVE: To compare the early effectiveness of arthroscopic suture bridge technique and conventional double tunnel suture technique in the treatment of avulsion fracture of posterior cruciate ligament (PCL) insertion. METHODS: Between June 2013 and
Autor:
Daiki Matsunaga, Hiroki Aosaki, Koki Inoue, Shinji Deguchi, Honghan Li, Amin Doostmohammadi, Tsubasa S. Matsui
Combining experiments with artificial intelligence algorithms, we propose a new machine learning based approach to extract the cellular force distributions from the microscope images. The full process can be divided into three steps. First, we cultur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd327bdc255794e5ffb9f4a8f9954c9f
https://doi.org/10.1101/2021.02.01.429065
https://doi.org/10.1101/2021.02.01.429065
Publikováno v:
Medical Science Monitor : International Medical Journal of Experimental and Clinical Research
BACKGROUND Peripheral nerve injury (PNI) is a common and progressive disorder with sensory and motor deficits in the peripheral nervous system (PNS). Treatment is difficult, with unfavorable prognosis. Green tea polyphenols (GTPs) exert neuroprotecti
Publikováno v:
MHS
Cells are known to sense mechanical cues in the surrounding environment to regulate their functions including proliferation, differentiation, and pro- inflammation. Despite numerous studies, signaling pathways underlying the cellular mechanosensing r