Evidence map›Paper›PMID 39896570›Full record

ArticlebioRxiv : the preprint server for biology2025

Accessible and accurate cytometry analysis using fluorescence microscopes.

Daniel Foyt, Yiming Kuang, Samma Rehem, Klaus Yserentant, Bo Huang

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 authors.

Daniel FoytUCSF-UC Berkeley Joint Graduate Program in Bioengineering, University of California San Francisco, San Francisco, California, 94143, United States of America.
Yiming KuangDepartment of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, 94143, United States of America.
Samma RehemBarnard College, New York City, New York, 10027, United States of America.
Klaus YserentantDepartment of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, 94143, United States of America.
Bo HuangDepartment of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, 94143, United States of America.ORCID 0000-0003-1704-4141

Funding

Mapping endogenous protein dynamics in living cellsR01GM131641 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Bo Huang · 2019 to 2026
$2.6M
NIGMS NIH HHS R01 GM131641
6 · The paper itself

Abstract

We have developed a method along with a python-based analysis tool to capture images and produce flow cytometry like data utilizing simple accessible microscopes. Utilizing the recently developed generalist algorithms for cell segmentation, our approach easily segments semi-adherent or suspended cells facilitating quantification of fluorescent intensity similar to flow cytometry. We have shown that our approach exhibits similar speed and enhanced sensitivity when compared to typical flow cytometry. The utility of our approach is demonstrated by screening a set of 88 prime editing conditions utilizing the integration of mNeonGreen

Identifiers

PMID39896570
PMCPMC11785219

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.