Miu Tamamitsu

Project Assistant Professor, Research Center for Advanced Science and Technology, The University of Tokyo*Profile is at the time of the award.

2023Inamori Research GrantsBiology & Life sciences

Research topics
Non-destructive phenotyping of cells by biologically-supervised machine learning of single-cell label-free optical data
I aim to develop a multi-modal single-cell analysis platform in which label-free optical image data and molecular biological data are linked at the single-cell level, thereby enabling discovery and quantification of cellular functions and phenotypes in a non-destructive and label-free manner. Such analysis could impact various fields in fundamental science and medical settings: e.g., defining and quantifying cells and cellular states which do not have known surface markers, quality control of cells that will be used for medical applications, etc.


I aim to realize novel single-cell analysis that harnesses the full potential of label-free optical measurement.

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Biology & Life sciences