[HTML][HTML] Data-analysis strategies for image-based cell profiling

JC Caicedo, S Cooper, F Heigwer, S Warchal, P Qiu… - Nature …, 2017 - nature.com
Image-based cell profiling is a high-throughput strategy for the quantification of phenotypic
differences among a variety of cell populations. It paves the way to studying biological …

[HTML][HTML] Live-cell imaging in the deep learning era

JW Pylvänäinen, E Gómez-de-Mariscal… - Current Opinion in Cell …, 2023 - Elsevier
Live imaging is a powerful tool, enabling scientists to observe living organisms in real time.
In particular, when combined with fluorescence microscopy, live imaging allows the …

CellProfiler 3.0: Next-generation image processing for biology

C McQuin, A Goodman, V Chernyshev… - PLoS …, 2018 - journals.plos.org
CellProfiler has enabled the scientific research community to create flexible, modular image
analysis pipelines since its release in 2005. Here, we describe CellProfiler 3.0, a new …

Genetic and transcriptional evolution alters cancer cell line drug response

U Ben-David, B Siranosian, G Ha, H Tang, Y Oren… - Nature, 2018 - nature.com
Human cancer cell lines are the workhorse of cancer research. Although cell lines are
known to evolve in culture, the extent of the resultant genetic and transcriptional …

The immune niche of the liver

ML Cheng, D Nakib, CT Perciani… - Clinical …, 2021 - portlandpress.com
The liver is an essential organ that is critical for the removal of toxins, the production of
proteins, and the maintenance of metabolic homeostasis. Behind each liver functional unit …

CellProfiler Analyst 3.0: accessible data exploration and machine learning for image analysis

DR Stirling, AE Carpenter, BA Cimini - Bioinformatics, 2021 - academic.oup.com
Image-based experiments can yield many thousands of individual measurements describing
each object of interest, such as cells in microscopy screens. CellProfiler Analyst is a free …

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 …

Immune monitoring using mass cytometry and related high-dimensional imaging approaches

FJ Hartmann, SC Bendall - Nature Reviews Rheumatology, 2020 - nature.com
The cellular complexity and functional diversity of the human immune system necessitate the
use of high-dimensional single-cell tools to uncover its role in multifaceted diseases such as …

Next-generation computational tools for interrogating cancer immunity

F Finotello, D Rieder, H Hackl, Z Trajanoski - Nature Reviews Genetics, 2019 - nature.com
The remarkable success of cancer therapies with immune checkpoint blockers is
revolutionizing oncology and has sparked intensive basic and translational research into the …

Advances and opportunities in image analysis of bacterial cells and communities

H Jeckel, K Drescher - FEMS Microbiology Reviews, 2021 - academic.oup.com
The cellular morphology and sub-cellular spatial structure critically influence the function of
microbial cells. Similarly, the spatial arrangement of genotypes and phenotypes in microbial …