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 …
[PDF][PDF] Intelligent image-activated cell sorting
A fundamental challenge of biology is to understand the vast heterogeneity of cells,
particularly how cellular composition, structure, and morphology are linked to cellular …
particularly how cellular composition, structure, and morphology are linked to cellular …
Feature selection revisited in the single-cell era
Recent advances in single-cell biotechnologies have resulted in high-dimensional datasets
with increased complexity, making feature selection an essential technique for single-cell …
with increased complexity, making feature selection an essential technique for single-cell …
[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 …
Reconstructing cell cycle and disease progression using deep learning
P Eulenberg, N Köhler, T Blasi, A Filby… - Nature …, 2017 - nature.com
We show that deep convolutional neural networks combined with nonlinear dimension
reduction enable reconstructing biological processes based on raw image data. We …
reduction enable reconstructing biological processes based on raw image data. We …
AI on a chip
Artificial intelligence (AI) has dramatically changed the landscape of science, industry,
defence, and medicine in the last several years. Supported by considerably enhanced …
defence, and medicine in the last several years. Supported by considerably enhanced …
Diagnostic potential of imaging flow cytometry
Imaging flow cytometry (IFC) captures multichannel images of hundreds of thousands of
single cells within minutes. IFC is seeing a paradigm shift from low-to high-information …
single cells within minutes. IFC is seeing a paradigm shift from low-to high-information …
High-throughput microfluidic imaging flow cytometry
S Stavrakis, G Holzner, J Choo, A DeMello - Current opinion in …, 2019 - Elsevier
Highlights•Microfluidic strategies for cell focusing are beneficial for the precise and accurate
characterization of single cells in flow.•Camera-based imaging flow cytometers provide ultra …
characterization of single cells in flow.•Camera-based imaging flow cytometers provide ultra …
Classification of human white blood cells using machine learning for stain‐free imaging flow cytometry
M Lippeveld, C Knill, E Ladlow, A Fuller… - Cytometry Part …, 2020 - Wiley Online Library
Imaging flow cytometry (IFC) produces up to 12 spectrally distinct, information‐rich images of
single cells at a throughput of 5,000 cells per second. Yet often, cell populations are still …
single cells at a throughput of 5,000 cells per second. Yet often, cell populations are still …