Minoru Oikawa

TL;DR: This work presents a machine-intelligence technology based on a radically different architecture that realizes real-time image-based intelligent cell sorting at an unprecedented rate and is expected to enable machine-based scientific discovery in biological, pharmaceutical, and medical sciences.

TL;DR: Raman image-activated cell sorting is demonstrated by directly probing chemically specific intracellular molecular vibrations via ultrafast multicolor stimulated Raman scattering (SRS) microscopy for cellular phenotyping and holds promise for numerous applications that were previously difficult or undesirable with fluorescence-based technologies.

TL;DR: The WRP method using Shifted-Fresnel diffraction to solve the former problem, and all the steps could be implemented on a GPU, and a large CGH was obtained from the object points at the video rate.

TL;DR: This paper demonstrates a lensless zoomable holographic projection that realizes the zoom function using a numerical method, called scaled Fresnel diffraction which can calculate diffraction at different sampling rates on a projected image and hologram.

TL;DR: Equipped with the improved capabilities, this new generation of the iIACS technology holds promise for diverse applications in immunology, microbiology, stem cell biology, cancer biology, pathology, and synthetic biology.