Leveraging machine vision in cell-based diagnostics to do more with less

A Map of Human Type 1 Diabetes Progression by Imaging Mass Cytometry

(2019) Nicolas Damond et al.   Cell Metabolism

In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images

(2018) Eric M. Christiansen et al.   CELL

Opportunities and obstacles for deep learning in biology and medicine

(2018) Travers Ching et al.   Journal of the Royal Society Interface

High-throughput imaging flow cytometry by optofluidic time-stretch microscopy

(2018) Cheng Lei et al.   Nature Protocols

Ghost cytometry

(2018) Sadao Ota et al.   SCIENCE

CAR T cell immunotherapy for human cancer

(2018) Carl H. June et al.   SCIENCE

Intelligent image-based in situ single-cell isolation

(2018) Csilla Brasko et al.   Nature Communications

Engineered nanointerfaces for microfluidic isolation and molecular profiling of tumor-specific extracellular vesicles

(2018) Eduardo Reátegui et al.   Nature Communications

Intelligent Image-Activated Cell Sorting

(2018) Nao Nitta et al.   CELL

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy

(2018) Chawin Ounkomol et al.   NATURE METHODS

A portable device for nucleic acid quantification powered by sunlight, a flame or electricity

(2018) Ryan Snodgrass et al.   Nature Biomedical Engineering

High-throughput microfluidic imaging flow cytometry

(2018) Stavros Stavrakis et al.   CURRENT OPINION IN BIOTECHNOLOGY

An open-source solution for advanced imaging flow cytometry data analysis using machine learning

(2017) Holger Hennig et al.   METHODS

Single-cell genome sequencing at ultra-high-throughput with microfluidic droplet barcoding

(2017) Freeman Lan et al.   NATURE BIOTECHNOLOGY

Reconstructing cell cycle and disease progression using deep learning

(2017) Philipp Eulenberg et al.   Nature Communications

Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy

(2017) Daniel A. Orringer et al.   Nature Biomedical Engineering

Can we open the black box of AI?

(2016) Davide Castelvecchi   NATURE

Label-free cell cycle analysis for high-throughput imaging flow cytometry

(2016) Thomas Blasi et al.   Nature Communications

Deep Learning in Label-free Cell Classification

(2016) Claire Lifan Chen et al.   Scientific Reports

Microfluidic cell sorting: a review of the advances in the separation of cells from debulking to rare cell isolation

(2015) C. Wyatt Shields IV et al.   LAB ON A CHIP

Deep learning

(2015) Yann LeCun et al.   NATURE

An active role for machine learning in drug development

(2011) Robert F Murphy   Nature Chemical Biology

Label-Free Biomedical Imaging with High Sensitivity by Stimulated Raman Scattering Microscopy

(2008) Christian W. Freudiger et al.   SCIENCE