Evidence map›Paper›PMID 39853076›Full record

ArticleeLife2025

Automated cell annotation in multi-cell images using an improved CRF_ID algorithm.

Hyun Jee Lee, Jingting Liang, Shivesh Chaudhary, Sihoon Moon, Zikai Yu, Taihong Wu, He Liu, Myung-Kyu Choi, Yun Zhang, Hang Lu

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. HarnessingSensors (Basel, Switzerland) · 2025
    Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Hyun Jee Lee *School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, United States.ORCID https://orcid.org/0000-0001-9662-2063
Jingting Liang *Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0009-0004-4284-257X
Shivesh ChaudharySchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, United States.ORCID https://orcid.org/0000-0002-1928-0933
Sihoon MoonSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, United States.ORCID https://orcid.org/0000-0003-4540-9443
Zikai YuInterdisciplinary BioEngineering Program, Georgia Institute of Technology, Atlanta, United States.ORCID https://orcid.org/0009-0004-1851-3493
Taihong WuDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0002-9760-6978
He LiuDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0001-9418-9171
Myung-Kyu ChoiDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.
Yun ZhangDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0002-7631-858X
Hang LuSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, United States.ORCID https://orcid.org/0000-0002-6881-660X

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Ann E. Rougvie · 2012 to 2026
$7.5M
Modularly built, complete, coordinate- and template-free brain atlasesR01MH130064 · NIMH · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG, ZHANG, YUN · 2022 to 2025
$2.6M
Functional Analysis of Whole-Brain Dynamics in LearningR01NS115484 · NINDS · HARVARD UNIVERSITY · PI LU, HANG, ZHANG, YUN · 2020 to 2024
$2.4M
National Science Foundation 1764406NIH HHS P40 OD010440NIH HHS R01MH130064NIH HHS R01NS115484NIMH NIH HHS R01 MH130064NINDS NIH HHS R01 NS115484
6 · The paper itself

Abstract

Cell identification is an important yet difficult process in data analysis of biological images. Previously, we developed an automated cell identification method called CRF_ID and demonstrated its high performance in

Indexed as

AlgorithmsCaenorhabditis elegansImage Processing, Computer-AssistedAnimalsBrainC. eleganscell identificationimagingneural gene expressionneuroscience

Identifiers

PMID39853076
PMCPMC11759411

What OpenQuestion holds

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Registered trials

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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.