RSC Tokyo International Conference 2023

Deep Learning-enabled Computational Microscopy and Sensing ................................................ 1

Aydogan Ozcan

University of California , Los Angeles (UCLA)

Paper-based optical chemosensor arrays ....................................................................................... 3

Tsuyoshi Minami The University of Tokyo

Unleashing the Potential of Nanomaterials and Smartphones for the development of Biosensing

Technology and Diagnostics ......................................................................................................... 5

Suna Timur Ege University

Smartphone Technologies for Point-of-Care Diagnostics............................................................. 7

Ali Yetisen Imperial College London

Material based Induction of Neural Stem Cell Spheroid and

the Application of Brain on a Chip ............................................................................................... 8

I-Chi Lee National Tsing Hua University

Publishing with Impact .............................................................................................................. 10

Antony Galea Royal Society of Chemistry

Point-of-care Molecular Diagnostics on Smartphone ................................................................ 11

Tae Seok Seo Kyung Hee University

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