Masahito Uwamichi

ORCID: 0009-0000-7066-891X
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About
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Research Areas
  • Cellular Mechanics and Interactions
  • Cell Adhesion Molecules Research
  • melanin and skin pigmentation
  • Single-cell and spatial transcriptomics
  • Micro and Nano Robotics
  • Characterization and Applications of Magnetic Nanoparticles
  • Time Series Analysis and Forecasting
  • Microfluidic and Bio-sensing Technologies
  • Biocrusts and Microbial Ecology
  • Photoreceptor and optogenetics research
  • Microtubule and mitosis dynamics
  • Plant and Biological Electrophysiology Studies
  • Cell Image Analysis Techniques
  • Liquid Crystal Research Advancements
  • Diffusion and Search Dynamics

The University of Tokyo
2023-2024

Tokyo University of the Arts
2023

Many of the biological phenomena involve collective dynamics driven by self-propelled motion and nonequilibrium force (i.e., activity) that result in features unexpected from equilibrium physics. On other hand, experiments utilizing molecular motors, bacteria, mammalian cells have served as ideal setups to probe effect activity materials compare with theory. As has been established, however, biomolecules are chiral nature, which can lead patterning even left-right symmetry breaking our body....

10.48550/arxiv.2008.10852 preprint EN other-oa arXiv (Cornell University) 2020-01-01

Analyzing the motion of multiple biological agents, be it cells or individual animals, is pivotal for understanding complex collective behaviors. With advent advanced microscopy, detailed images tissue formations involving cell types have become more accessible in recent years. However, deciphering underlying rules that govern movements far from trivial. Here, we present a novel deep learning framework to estimate equations observed trajectories, step decoding such dynamics. Our integrates...

10.48550/arxiv.2405.16503 preprint EN arXiv (Cornell University) 2024-05-26

Cell alignment often forms nematic order, which can lead to anomalous collective cell flow due the so-called active force. Although it is appreciated that migration driven by traction force, a quantitative evaluation of relationships between patterning, and velocity still elusive. Here we have found cellular force aligns almost perfectly proportional in amplitude gradient order tensor, not only near topological defects but also globally. Furthermore, monolayer was best described adding...

10.48550/arxiv.2402.16151 preprint EN arXiv (Cornell University) 2024-02-25

Abstract The question of how changes in chemoattractant concentration translate into the chemotactic response immune cells serves as a paradigm for quantitative understanding perceive and process temporal spatial information. Here, using microfluidic approach, we analyzed migration neutrophil-like HL-60 to traveling wave chemoattractants fMLP leukotriene B4 (LTB4). We found that under pulsatile travels at speed 95 170 µm/min, move forward front but slow down randomly orient back due decrease...

10.1101/2024.06.16.598630 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-06-17

The question of how changes in chemoattractant concentration translate into the chemotactic response immune cells serves as a paradigm for quantitative understanding perceive and process temporal spatial information. Here, using microfluidic approach, we analyzed migration neutrophil-like HL-60 to traveling wave chemoattractants fMLP leukotriene B4 (LTB4). We found that under pulsatile travels at speed 95 170 µm/min, move forward front but slow down randomly orient back due decrease...

10.1091/mbc.e24-06-0245 article EN Molecular Biology of the Cell 2024-12-24

Abstract Amoeboid cell movement and migration are wide-spread across various types species. Microscopy-based analysis of the model systems Dictyostelium neutrophils over years have uncovered generality in their overall pattern. Under no directional cues, centroid can be quantitatively characterized by persistence to move a straight line frequency re-orientation. Mathematically, cells essentially behave as persistent random walker with memory two characteristic time-scale. Such quantitative...

10.1101/2023.08.25.554756 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-08-27

Amoeboid cell movement and migration are wide-spread across various types species. Microscopy-based analysis of the model systems Dictyostelium neutrophils over years have uncovered generality in their overall pattern. Under no directional cues, centroid can be quantitatively characterized by persistence to move a straight line frequency re-orientation. Mathematically, cells essentially behave as persistent random walker with memory two characteristic time-scale. Such quantitative...

10.3389/fcell.2023.1274127 article EN cc-by Frontiers in Cell and Developmental Biology 2023-11-01
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