Evidence map›Paper›PMID 38841598›Full record

ArticlemicroPublication biology2024

A DTC morphometrics package for quantification of complex and variable cellular morphology using ImageJ.

Nilay Gupta, Michael Cammer, Theadora Tolkin, E Jane Albert Hubbard

Abstract read
In one paragraph

Article in microPublication biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Non-autonomy of age-related morphological changes in thebioRxiv : the preprint server for biology · 2025
    Article
  3. 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

4 authors.

Nilay GuptaDepartment of Cell Biology, NYU Grossman School of Medicine, New York, New York, United States.
Michael CammerMicroscopy Laboratory, Division of Advanced Research Technology, NYU Grossman School of Medicine, New York, New York, United States.
Theadora TolkinDepartment of Cell Biology, NYU Grossman School of Medicine, New York, New York, United States.
E Jane Albert HubbardDepartment of Cell Biology, NYU Grossman School of Medicine, New York, New York, United States.

Funding

The aging stem cell nicheR01AG065672 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI E. Jane Albert Hubbard · 2020 to 2026
$2.2M
Diet and Germline ProgenitorsR35GM134876 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HUBBARD, E. JANE ALBERT · 2020 to 2024
$2.1M
NIA NIH HHS R01 AG065672NIGMS NIH HHS R35 GM134876
6 · The paper itself

Abstract

Quantification of complex cellular morphology is important for understanding developmental control of cell shape as well as the developmental ramifications of dysregulated cell shape. However, processing and scoring 3D confocal micrographs can be time consuming and prone to errors such as sample-data matching for large datasets, reproducibility between users, and errors introduced by variable image quality. These problems are further compounded where cell shapes vary from sample to sample and intensity dynamic ranges extend over orders of magnitude. Here we present a package of ImageJ macros we developed for analysis of the

Identifiers

PMID38841598
PMCPMC11151109

What OpenQuestion holds

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LicenceCC BY
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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.