ArticleNature communications2017
Smooth 2D manifold extraction from 3D image stack.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
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Who cites it
31 citing papers in PubMed, 87 citations in OpenAlex.
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- δ-Protocadherins regulate neural progenitor cell division by antagonizing Ryk and Wnt/β-catenin signaling.iScience · 2021Article
- LocalZProjector and DeProj: a toolbox for local 2D projection and accurate morphometrics of large 3D microscopy images.BMC biology · 2021Article
- Deep learning automated pathology in ex vivo microscopy.Biomedical optics express · 2021Article
- 2.5D microscopy: Fast, high-throughput imaging via volumetric projection for quantitative subcellular analysis.ACS photonics · 2021Article
- Volumetric Lissajous confocal microscopy with tunable spatiotemporal resolution.Biomedical optics express · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Three-dimensional fluorescence microscopy followed by image processing is routinely used to study biological objects at various scales such as cells and tissue. However, maximum intensity projection, the most broadly used rendering tool, extracts a discontinuous layer of voxels, obliviously creating important artifacts and possibly misleading interpretation. Here we propose smooth manifold extraction, an algorithm that produces a continuous focused 2D extraction from a 3D volume, hence preserving local spatial relationships. We demonstrate the usefulness of our approach by applying it to various biological applications using confocal and wide-field microscopy 3D image stacks. We provide a parameter-free ImageJ/Fiji plugin that allows 2D visualization and interpretation of 3D image stacks with maximum accuracy.
Identifiers
What OpenQuestion holds
Registered trials
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.