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Hideki Sasaki , M.Sc.

Hideki Sasaki is a Principal Algorithm Engineer at Leica Microsystems, where he leads an engineering team to develop algorithms and technologies for the Leica Aivia software products. Hideki holds a master’s degree in Physics from the University of Tokyo, Japan. He has over fifteen years of experience in implementing and optimizing image processing, computer vision, and machine learning algorithms for industrial and bioscience applications. In his recent work, Hideki developed a collection of deep-learning models to be applied to microscopy images for image restoration, super-resolution, virtual staining, object classification, and semantic segmentation. In his position at Nikon Corporate of Japan, Hideki played a key role in developing calibration, measurement, and point-cloud registration algorithms for a novel structured-light 3D scanner. He was granted over thirty patents in the US and Japan for his work.  And his hobby is reading state-of-the-art research papers in the fields of computer vision and machine learning.

Pancreatic Ductal Adenocarcinoma with 5 biomarkers shown – SMA, PanCK PCK26, PanCK AE1, Vimentin, and Glut1.

Dig Deeper Into the Complexities of Pancreatic Cancer with Multiplex Imaging

Cell DIVE is an iterative staining workflow for multiplexed imaging that unveils biological pathways to dig deeper into the complexities of pancreatic cancer.
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