Microscopy-Based High-Content Screening.

By Michael Boutros, Florian Heigwer, Christina Laufer. 2015

353 citations recorded by the source corpus.

Subfields: Biophysics, Media Technology, Computational Chemistry & Drug Discovery

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. Uwe Schmidt
6. Hanchuan Peng
7. Florian Jug
8. Oren Z. Kraus

In Media Technology

1. Shantanu Singh
2. Juan C. Caicedo
3. Uwe Schmidt
4. 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).”
• Cell Detection with Star-convex Polygons (2018, background): “Examples include high-content screens of variations in cell phenotypes [2], or the identification of developmental lineages of dividing cells [1,17].”
• Data-analysis strategies for image-based cell profiling (2017, neutral): “A priori”