Ryuji Kato

Associate Professor (PI)

Nagoya University

Japan

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About

Ryuji Kato is an Associate Professor and Principal Investigator at Nagoya University, Japan. His research focuses on label-free morphological analysis, exploring the phenotypic characteristics of various cell models, including those related to muscular atrophy and stem cell potency. Recent publications highlight advancements in dataset design for robust U-Net models and predictive mechanisms in cellular behaviors, contributing significantly to the fields of cellular biology and biopharmaceutical development.

Articles (9)

Year:

2025

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2025

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2024

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2024

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2022

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2022

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2022

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2021

Year:

2020

Collaborators (3)

Kei Kanie

Kindai University

JAPAN

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Keisuke Ito

Associate Professor

Shizuoka University

JAPAN

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Hideo Nakano

Nagoya University

JAPAN

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Ryuji Kato

Research Interests

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About

Articles (9)

Label-free morphology-based phenotypic analysis of spinal and bulbar muscular atrophy muscle cell models

Importance of dataset design in developing robust U-Net models for label-free cell morphology evaluation

Construction of transcript regulation mechanism prediction models based on binding motif environment of transcription factor AoXlnR in Aspergillus oryzae

Prediction of antibody production performance change in Chinese hamster ovary cells using morphological profiling

Collection of Data Variation Using a High-Throughput Image-Based Assay Platform Facilitates Data-Driven Understanding of TRPA1 Agonist Diversity

Morphological heterogeneity description enabled early and parallel non-invasive prediction of T-cell proliferation inhibitory potency and growth rate for facilitating donor selection of human mesenchymal stem cells

Morphology-based noninvasive early prediction of serial-passage potency enhances the selection of clone-derived high-potency cell bank from mesenchymal stem cells

Predicting quality decay in continuously passaged mesenchymal stem cells by detecting morphological anomalies

The importance of scoring recognition fitness in spheroid morphological analysis for robust label-free quality evaluation

Collaborators (3)

Kei Kanie

Keisuke Ito

Hideo Nakano

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