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researcher

Hiroki Aosaki

2 papers hereh-index 240 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • physics.bio-ph2

identity via Semantic Scholar / OpenAlex

most citedWrinkle force microscopy: a new machine learning based approach to predict cell mechanics from images

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

physics.bio-ph2021★ 1 cited

Wrinkle force microscopy: a new machine learning based approach to predict cell mechanics from images

Honghan Li, Daiki Matsunaga, Tsubasa S. Matsui +4

Combining experiments with artificial intelligence algorithms, we propose a new machine learning based approach to extract the cellular force distributions from the microscope imag…

physics.bio-ph2019

Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet

Li Honghan, Daiki Matsunaga, Tsubasa S. Matsui +2

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 sub…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.