Evidence map›Paper›PMID 30359725›Full record

ArticleMethods (San Diego, Calif.)2019

A versatile image analysis platform for three-dimensional nuclear reconstruction.

Jessica F Williams, Simon G J Mochrie, Megan C King

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2019. 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

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

3 authors.

Jessica F WilliamsDepartment of Cell Biology, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA.
Simon G J MochrieDepartment of Physics, Department of Applied Physics, Yale University, 217 Prospect Street, New Haven, CT 06511, USA.
Megan C KingDepartment of Cell Biology, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA. Electronic address: megan.king@yale.edu.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
Skill Development for Diverse Scientific Careers: A New Course Predoctoral Program in Cellular and Molecular BiologyT32GM007223 · NIGMS · YALE UNIVERSITY · PI BASERGA, SUSAN J · 1985 to 2019
$31.0M
Remodeling of the structure and function of the nuclear lamina by LINC complex-dependent tensionR01GM129308 · NIGMS · YALE UNIVERSITY · PI KING, MEGAN C · 2018 to 2021
$1.3M
NIGMS NIH HHS R01 GM129308NIGMS NIH HHS T32 GM007205NIGMS NIH HHS T32 GM007223
6 · The paper itself

Abstract

Nuclear morphology is indicative of cellular health in many contexts. In order to robustly and quantitatively measure nuclear size and shape, numerous experimental methods leveraging fluorescence microscopy have been developed. While these methods are useful for quantifying two-dimensional morphology, they often fail to accurately represent the three-dimensional structure of the nucleus, thus omitting important spatial and volumetric information. To address the need for a more accurate image analysis modality, we have developed a software platform that faithfully reconstructs membrane surfaces in three dimensions with sub-pixel resolution. Here, we showcase its broad applicability across species and nuclear scale, as well as provide information on how to employ this platform for diverse experimental systems.

Indexed as

Cell NucleusImage Processing, Computer-AssistedImaging, Three-DimensionalMicroscopy, ConfocalMicroscopy, FluorescenceSoftware3D reconstructionImage analysisNuclear envelopeNuclear morphologyNucleus

Identifiers

PMID30359725
PMCPMC6401273

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.