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 …
advantages of single-cell image acquisition associated with microscopy. The measurement …
Deep learning for fabrication and maturation of 3D bioprinted tissues and organs
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 …
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 …
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 …
catalyzed a growing sense in the scientific community that the time is ripe to complete the …
[HTML][HTML] Raman image-activated cell sorting
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 …
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 …
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
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 …
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
Microfluidics permit the automated manipulation of fluids at the microscale with high
throughput and spatiotemporal precision, enabling the generation of large, multidimensional …
throughput and spatiotemporal precision, enabling the generation of large, multidimensional …
[HTML][HTML] Imaging technologies for flow cytometry
High-throughput single cell imaging is a critical enabling and driving technology in
molecular and cellular biology, biotechnology, medicine and related areas. Imaging flow …
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 …
laboratories. For over 150 years, quantitative investigation of body fluids such as counts of …