Evidence map›Paper›PMID 34215263›Full record

ArticleBMC biology2021

LocalZProjector and DeProj: a toolbox for local 2D projection and accurate morphometrics of large 3D microscopy images.

Sébastien Herbert, Léo Valon, Laure Mancini, Nicolas Dray, Paolo Caldarelli, Jérôme Gros, Elric Esposito, Spencer L Shorte, Laure Bally-Cuif, Nathalie Aulner and 2 more

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Article in BMC biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Successful oocyte transport through the oviduct does not depend on the longitudinal alignment of oviduct epithelial folds.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

12 authors.

Sébastien Herbert *Image Analysis Hub, C2RT / DTPS, Institut Pasteur, Paris, France.
Léo Valon *Cell death and epithelial homeostasis unit, Developmental and Stem Cell Biology Department, UMR3738 CNRS, Institut Pasteur, Paris, France.
Laure ManciniZebrafish Neurogenetics unit (Team supported by the Ligue Nationale Contre le Cancer), Developmental and Stem Cell Biology Department, UMR3738 CNRS, Institut Pasteur, Paris, France.
Nicolas DrayZebrafish Neurogenetics unit (Team supported by the Ligue Nationale Contre le Cancer), Developmental and Stem Cell Biology Department, UMR3738 CNRS, Institut Pasteur, Paris, France.
Paolo CaldarelliDynamic Regulation of Morphogenesis, Developmental and Stem Cell Biology Department, UMR3738 CNRS, Institut Pasteur, Paris, France.
Jérôme GrosDynamic Regulation of Morphogenesis, Developmental and Stem Cell Biology Department, UMR3738 CNRS, Institut Pasteur, Paris, France.
Elric EspositoUTechS PBI, C2RT / DTPS, Institut Pasteur, Paris, France.
Spencer L ShorteUTechS PBI, C2RT / DTPS, Institut Pasteur, Paris, France.
Laure Bally-CuifZebrafish Neurogenetics unit (Team supported by the Ligue Nationale Contre le Cancer), Developmental and Stem Cell Biology Department, UMR3738 CNRS, Institut Pasteur, Paris, France.
Nathalie AulnerUTechS PBI, C2RT / DTPS, Institut Pasteur, Paris, France.
Romain LevayerCell death and epithelial homeostasis unit, Developmental and Stem Cell Biology Department, UMR3738 CNRS, Institut Pasteur, Paris, France.
Jean-Yves TinevezImage Analysis Hub, C2RT / DTPS, Institut Pasteur, Paris, France. tinevez@pasteur.fr.ORCID 0000-0002-0998-4718

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantitative imaging of epithelial tissues requires bioimage analysis tools that are widely applicable and accurate. In the case of imaging 3D tissues, a common preprocessing step consists of projecting the acquired 3D volume on a 2D plane mapping the tissue surface. While segmenting the tissue cells is amenable on 2D projections, it is still very difficult and cumbersome in 3D. However, for many specimen and models used in developmental and cell biology, the complex content of the image volume surrounding the epithelium in a tissue often reduces the visibility of the biological object in the projection, compromising its subsequent analysis. In addition, the projection may distort the geometry of the tissue and can lead to strong artifacts in the morphology measurement.

resultsHere we introduce a user-friendly toolbox built to robustly project epithelia on their 2D surface from 3D volumes and to produce accurate morphology measurement corrected for the projection distortion, even for very curved tissues. Our toolbox is built upon two components. LocalZProjector is a configurable Fiji plugin that generates 2D projections and height-maps from potentially large 3D stacks (larger than 40 GB per time-point) by only incorporating signal of the planes with local highest variance/mean intensity, despite a possibly complex image content. DeProj is a MATLAB tool that generates correct morphology measurements by combining the height-map output (such as the one offered by LocalZProjector) and the results of a cell segmentation on the 2D projection, hence effectively deprojecting the 2D segmentation in 3D. In this paper, we demonstrate their effectiveness over a wide range of different biological samples. We then compare its performance and accuracy against similar existing tools.

conclusionsWe find that LocalZProjector performs well even in situations where the volume to project also contains unwanted signal in other layers. We show that it can process large images without a pre-processing step. We study the impact of geometrical distortions on morphological measurements induced by the projection. We measured very large distortions which are then corrected by DeProj, providing accurate outputs.

Indexed as

Imaging, Three-DimensionalMicroscopy3D imagingImage analysisMorphologyTissue imaging

Identifiers

PMID34215263
PMCPMC8254216

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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.