Imaging flow cytometry

P Rees, HD Summers, A Filby, AE Carpenter… - Nature Reviews …, 2022 - nature.com
Imaging flow cytometry combines the high-event-rate nature of flow cytometry with the
advantages of single-cell image acquisition associated with microscopy. The measurement …

Deep learning for fabrication and maturation of 3D bioprinted tissues and organs

WL Ng, A Chan, YS Ong, CK Chua - Virtual and Physical …, 2020 - Taylor & Francis
Bioprinting is a relatively new and promising tissue engineering approach to solve the
problem of donor shortage for organ transplantation. It is a highly-advanced biofabrication …

Guidelines for the use of flow cytometry and cell sorting in immunological studies

A Cossarizza, HD Chang, A Radbruch… - European journal of …, 2019 - Wiley Online Library
These guidelines are a consensus work of a considerable number of members of the
immunology and flow cytometry community. They provide the theory and key practical …

The human cell atlas

A Regev, SA Teichmann, ES Lander, I Amit, C Benoist… - elife, 2017 - elifesciences.org
The recent advent of methods for high-throughput single-cell molecular profiling has
catalyzed a growing sense in the scientific community that the time is ripe to complete the …

[HTML][HTML] Raman image-activated cell sorting

N Nitta, T Iino, A Isozaki, M Yamagishi… - Nature …, 2020 - nature.com
The advent of image-activated cell sorting and imaging-based cell picking has advanced our
knowledge and exploitation of biological systems in the last decade. Unfortunately, they …

Classification of T-cell activation via autofluorescence lifetime imaging

AJ Walsh, KP Mueller, K Tweed, I Jones… - Nature biomedical …, 2021 - nature.com
The function of a T cell depends on its subtype and activation state. Here, we show that
imaging of the autofluorescence lifetime signals of quiescent and activated T cells can be …

[HTML][HTML] Self-supervised deep learning encodes high-resolution features of protein subcellular localization

H Kobayashi, KC Cheveralls, MD Leonetti, LA Royer - Nature methods, 2022 - nature.com
Explaining the diversity and complexity of protein localization is essential to fully understand
cellular architecture. Here we present cytoself, a deep-learning approach for fully self …

[PDF][PDF] Intelligent microfluidics: The convergence of machine learning and microfluidics in materials science and biomedicine

EA Galan, H Zhao, X Wang, Q Dai, WTS Huck, S Ma - Matter, 2020 - cell.com
Microfluidics permit the automated manipulation of fluids at the microscale with high
throughput and spatiotemporal precision, enabling the generation of large, multidimensional …

[HTML][HTML] Imaging technologies for flow cytometry

Y Han, Y Gu, AC Zhang, YH Lo - Lab on a Chip, 2016 - pubs.rsc.org
High-throughput single cell imaging is a critical enabling and driving technology in
molecular and cellular biology, biotechnology, medicine and related areas. Imaging flow …

[HTML][HTML] Cell cytometry: Review and perspective on biotechnological advances

A Vembadi, A Menachery… - Frontiers in bioengineering …, 2019 - frontiersin.org
Cell identification and enumeration are essential procedures within clinical and research
laboratories. For over 150 years, quantitative investigation of body fluids such as counts of …