Yasuyuki Ozeki

TL;DR: In this article, a label-free scheme was proposed for video-rate imaging of various types of biological tissue using stimulated Raman scattering microscopy, which offers molecular specificity and frame-by-frame wavelength tunability allowing the creation of 2D and 3D images of samples showing different constituents.

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: It is theoretically show that the shot-noise-limited sensitivity of stimulated Raman scattering (SRS) microscopy, which enables high-contrast vibrational imaging, is similar to that of coherent anti-Stokes Raman scatter microscopy.

TL;DR: This paper presents label-free multicolor chemical imaging flow cytometry based on stimulated Raman scattering (SRS), a highly sensitive method of molecular vibrational spectroscopy with the help of deep learning, which demonstrates high-precision characterization and classification of microalgal cells and cancer cells without the need for fluorescent labeling.

TL;DR: Subharmonically synchronized laser pulses are proposed and demonstrated for low-noise lock-in detection in stimulated Raman scattering (SRS) microscopy and high-contrast, 3D imaging of unlabeled living cells.