Evidence map›Paper›PMID 24672759›Full record

ArticleStem cell reports2014

A rapid and efficient 2D/3D nuclear segmentation method for analysis of early mouse embryo and stem cell image data.

Xinghua Lou, Minjung Kang, Panagiotis Xenopoulos, Silvia Muñoz-Descalzo, Anna-Katerina Hadjantonakis

Abstract read
In one paragraph

Article in Stem cell reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

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  17. Review
  18. Imaging developmental cell cycles.Biophysical journal · 2021
    Review
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

5 authors.

Xinghua LouDevelopmental Biology Program, Sloan-Kettering Institute, New York, NY 10065, USA.
Minjung KangDevelopmental Biology Program, Sloan-Kettering Institute, New York, NY 10065, USA ; Department of Biochemistry, Cell and Molecular Biology Program, Weill Graduate School of Medical Sciences of Cornell University, New York, NY 10065, USA.
Panagiotis XenopoulosDevelopmental Biology Program, Sloan-Kettering Institute, New York, NY 10065, USA.
Silvia Muñoz-DescalzoDevelopmental Biology Program, Sloan-Kettering Institute, New York, NY 10065, USA.
Anna-Katerina HadjantonakisDevelopmental Biology Program, Sloan-Kettering Institute, New York, NY 10065, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Morphogenesis of the paraxial mesoderm in miceR01HD052115 · NICHD · SLOAN-KETTERING INST CAN RESEARCH · PI HADJANTONAKIS, ANNA-KATERINA · 2006 to 2015
$4.1M
Morphogenesis of mammalian gut endodermR01DK084391 · NIDDK · SLOAN-KETTERING INST CAN RESEARCH · PI HADJANTONAKIS, ANNA-KATERINA · 2009 to 2018
$4.1M
NCI NIH HHS P30 CA008748NICHD NIH HHS R01 HD052115NICHD NIH HHS R01-HD052115NIDDK NIH HHS R01 DK084391NIDDK NIH HHS R01-DK084391
6 · The paper itself

Abstract

Segmentation is a fundamental problem that dominates the success of microscopic image analysis. In almost 25 years of cell detection software development, there is still no single piece of commercial software that works well in practice when applied to early mouse embryo or stem cell image data. To address this need, we developed MINS (modular interactive nuclear segmentation) as a MATLAB/C++-based segmentation tool tailored for counting cells and fluorescent intensity measurements of 2D and 3D image data. Our aim was to develop a tool that is accurate and efficient yet straightforward and user friendly. The MINS pipeline comprises three major cascaded modules: detection, segmentation, and cell position classification. An extensive evaluation of MINS on both 2D and 3D images, and comparison to related tools, reveals improvements in segmentation accuracy and usability. Thus, its accuracy and ease of use will allow MINS to be implemented for routine single-cell-level image analyses.

Indexed as

AlgorithmsAnimalsEmbryo, MammalianEmbryonic Stem CellsImage Processing, Computer-AssistedImaging, Three-DimensionalMiceMicroscopySoftware

Identifiers

PMID24672759
PMCPMC3964288

What OpenQuestion holds

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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.