Evidence map›Paper›PMID 41479047›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Analyzing Cell Painting PLUS Data Using Cell Profiler and KNIME Analytics Platform.

Marlene Wedler, Nils Körber, Shu Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Marlene WedlerGerman Centre for the Protection of Laboratory Animals (Bf3R) and Experimental Toxicology, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Nils KörberCentre for Artificial Intelligence in Public Health Research, Robert Koch Institute, Berlin, Germany.
Shu LiuGerman Centre for the Protection of Laboratory Animals (Bf3R) and Experimental Toxicology, German Federal Institute for Risk Assessment (BfR), Berlin, Germany. Shu.Liu@bfr.bund.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput/high-content multiplexed phenotypic (HTS/HCS) screens, such as Cell Painting PLUS (CPP), are employed to identify morphological changes in cells induced by chemical compound treatments or genetic perturbations. These phenotypic screens generate extensive imaging data, from which hundreds to thousands of features describing cellular morphology can be extracted. Open-source software, such as Cell Profiler and KNIME Analytics Platform, provides useful tools for image analysis and data processing.In this chapter, we present a comprehensive Cell Profiler pipeline for the analysis of images generated using the Cell Painting PLUS method. The image analysis procedure starts with illumination correction, followed by image registration using 4i stitcher software developed in our laboratory to combine images scanned from different staining cycles. Subsequently, cell region segmentation and feature extraction are performed. The approximately 3000 extracted features are processed via the KNIME Analytics Platform, which relies primarily on visual programming elements to minimize the need for coding expertise. This process includes normalization and benchmark dose modeling. The responsive features or feature categories are visualized using an "accumulation plot" and a "magnitude plot," allowing users of CPP to summarize the most potentially affected organelle by the tested compound or genetic perturbation.

Indexed as

High-Throughput Screening AssaysImage Processing, Computer-AssistedSoftwareHumansBenchmark dose modelingCell Painting PLUSCell ProfilerImage analysisKNIMEMorphological profiling

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.