Evidence map›Paper›PMID 38585902›Full record

ArticlebioRxiv : the preprint server for biology2024

SPACe (Swift Phenotypic Analysis of Cells): an open-source, single cell analysis of Cell Painting data.

Fabio Stossi, Pankaj K Singh, Michela Marini, Kazem Safari, Adam T Szafran, Alejandra Rivera Tostado, Christopher D Candler, Maureen G Mancini, Elina A Mosa, Michael J Bolt and 2 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Fabio StossiORCID 0000-0001-6029-5478
Pankaj K SinghORCID 0000-0002-7112-6933
Michela Marini
Kazem SafariORCID 0000-0002-3717-7913
Adam T SzafranORCID 0000-0002-3033-2378
Alejandra Rivera Tostado
Christopher D Candler
Maureen G Mancini
Elina A MosaORCID 0009-0008-4112-4719
Michael J Bolt
Demetrio LabateORCID 0000-0002-9718-789X
Michael A ManciniORCID 0000-0002-4862-1944

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenotypic profiling by high throughput microscopy has become one of the leading tools for screening large sets of perturbations in cellular models. Of the numerous methods used over the years, the flexible and economical Cell Painting (CP) assay has been central in the field, allowing for large screening campaigns leading to a vast number of data-rich images. Currently, to analyze data of this scale, available open-source software (

Identifiers

PMID38585902
PMCPMC10996526

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.