1 citations · 1 across the 1 of their papers we have counts for
6 papers
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…
Magnetic microswimmers exhibit Bose-Einstein-like condensation
Fanlong Meng, Daiki Matsunaga, Benoît Mahault +1
We study an active matter system comprised of magnetic microswimmers confined in a microfluidic channel and show that it exhibits a new type of self-organized behavior. Combining a…
Degenerate states, emergent dynamics and fluid mixing by magnetic rotors
Takuma Kawai, Daiki Matsunaga, Fanlong Meng +2
We investigate the collective motion of magnetic rotors suspended in a viscous fluid under an uniform rotating magnetic field. The rotors are positioned on a square lattice, and lo…
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis
Daiki Matsunaga, Toyotaro Suzumura, Toshihiro Takahashi
Recently, there has been a surge of interest in the use of machine learning to help aid in the accurate predictions of financial markets. Despite the exciting advances in this cros…
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…
Focusing and sorting of ellipsoidal magnetic particles in microchannels
Daiki Matsunaga, Fanlong Meng, Andreas Zoettl +2
We present a simple method to control the position of ellipsoidal magnetic particles in microchannel Poiseuille flow using a static uniform magnetic field. The magnetic field is ut…