Multi-parametric characterization of drug effects on cells [version 2; peer review: 2 approved]

Yael Paran, Yuvalal Liron, Sarit Batsir, Nicola Mabjeesh, Benjamin Geiger, Zvi Kam*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


We present here a novel multi-parametric approach for the characterization of multiple cellular features, using images acquiredby high-throughput and high-definition light microscopy. We specifically used this approach for deep and unbiased analysis of the effects of a drug library on five cultured cell lines. The presented method enables the acquisition and analysis of millions of images, of treated and control cells, followed by an automated identification of drugs inducing strong responses, evaluating the median effect concentrations and those cellular properties that are most highly affected by the drug. The tools described here provide standardized quantification of multiple attributes for systems level dissection of complex functions in normal and diseased cells, using multiple perturbations. Such analysis of cells, derived from pathological samples, may help in the diagnosis and follow-up of treatment in patients.

Original languageEnglish
Pages (from-to)1-16
Number of pages16
StatePublished - 2021
Externally publishedYes


FundersFunder number
Kahn Family Foundation for Systems Biology
M.D. Moross Institute for Cancer Research
Yad Abraham Center for Cancer Diagnosis and Therapy
Weizmann Institute of Science


    • Drug effect screening
    • Microscope imaging
    • Multiparameter scoring


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