High-Content Screening for Quantitative Cell Biology.

By Mojca Mattiazzi Usaj, Erin B. Styles, Adrian J. Verster, H. Friesen, Charles Boone, Brenda J. Andrews. 2016

241 citations recorded by the source corpus.

Subfields: Biophysics, Molecular Biology, Computational Biology & Bioinformatics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biophysics

1. Shantanu Singh
2. Juan C. Caicedo
3. Anne E Carpenter
4. Allen Goodman
5. Oren Z. Kraus

In Molecular Biology

1. Juan C. Caicedo
2. Anne E Carpenter
3. Shantanu Singh
4. Allen Goodman

In Computational Biology & Bioinformatics

1. Shantanu Singh
2. Juan C. Caicedo
3. Anne E Carpenter

Citations in the corpus

• Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images (2018, methodology): “From image-based assays to high-content screening (1,2), microscopy images have led to understanding genetic perturbations, pursuing drug discovery, and phenotyping cells in biomedical applications and cell biology research (3,4).”