Evidence map›Paper›PMID 39536028›Full record

ArticlePloS one2024

EasyFlow: An open-source, user-friendly cytometry analyzer with graphic user interface (GUI).

Yitong Ma, Inbal Eizenberg-Magar, Yaron Antebi

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Network Pharmacology and Molecular Docking ofInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Yitong MaDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.ORCID 0000-0003-4446-7326
Inbal Eizenberg-MagarDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0001-6940-6226
Yaron AntebiDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0002-5771-6814

Funding

MEMOIR: Recording, and in situ readout of cell lineage and transcriptional historyR01MH116508 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI CAI, LONG, ELOWITZ, MICHAEL B · 2017 to 2021
$6.9M
Multiplex RNA imaging in single cells by superresolution microscopy& barcode FISHR01HD075605 · NICHD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI CAI, LONG, SOMLO, GEORGE NONE · 2012 to 2016
$4.1M
National Science Foundation EF-2021552NICHD NIH HHS R01 HD075605NIMH NIH HHS R01 MH116508
6 · The paper itself

Abstract

Flow cytometry enables quantitative measurements of fluorescence in single cells. The technique was widely used for immunology to identify populations with different surface protein markers. More recently, the usage of flow cytometry has been extended to additional readouts, including intracellular proteins and fluorescent protein transgenes, and is widely utilized to study developmental biology, systems biology, microbiology, and many other fields. A common file format (FCS format, defined by the International Society for Advancement of Cytometry (ISAC)) has been universally adopted, facilitating data exchange between different machines. A diverse spectrum of software packages has been developed for the analysis of flow cytometry data. However, those are either 1) costly proprietary softwares, 2) open source packages with prerequisite installation of R or Python and sometimes require users to have experience in coding, or 3) online tools that are limiting for analysis of large data sets. Here, we present EasyFlow, an open-source flow cytometry analysis graphic user interface (GUI) based on Matlab or Python, that can be installed and run locally across platforms (Windows, MacOS, and Linux) without requiring previous coding knowledge. The Python version (EasyFlowQ) is also developed on a popular plotting framework (Matplotlib) and modern user interface toolkit (Qt), allowing more advanced users to customize and keep contributing to the software, as well as its tutorials. Overall, EasyFlow serves as a simple-to-use tool for inexperienced users with little coding experience to use locally, as well as a platform for advanced users to further customize for their own needs.

Indexed as

Flow CytometrySoftwareUser-Computer InterfaceHumans

Identifiers

PMID39536028
PMCPMC11560029

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.