Evidence map›Paper›PMID 28255161›Full record

ArticleScientific reports2017

Multiscale image analysis reveals structural heterogeneity of the cell microenvironment in homotypic spheroids.

Alexander Schmitz, Sabine C Fischer, Christian Mattheyer, Francesco Pampaloni, Ernst H K Stelzer

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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  7. Engineered platforms for mimicking cardiac development and drug screening.Cellular and molecular life sciences : CMLS · 2024
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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

5 authors.

Alexander SchmitzPhysical Biology/Physikalische Biologie (IZN, FB 15), Buchmann Institute for Molecular Life Sciences (BMLS), Cluster of Excellence Frankfurt - Macromolecular Complexes (CEF - MC), Goethe Universität - Frankfurt am Main (Campus Riedberg), Max-von-Laue-Straße 15 - D-60348 Frankfurt am Main, Germany.
Sabine C FischerPhysical Biology/Physikalische Biologie (IZN, FB 15), Buchmann Institute for Molecular Life Sciences (BMLS), Cluster of Excellence Frankfurt - Macromolecular Complexes (CEF - MC), Goethe Universität - Frankfurt am Main (Campus Riedberg), Max-von-Laue-Straße 15 - D-60348 Frankfurt am Main, Germany.
Christian MattheyerPhysical Biology/Physikalische Biologie (IZN, FB 15), Buchmann Institute for Molecular Life Sciences (BMLS), Cluster of Excellence Frankfurt - Macromolecular Complexes (CEF - MC), Goethe Universität - Frankfurt am Main (Campus Riedberg), Max-von-Laue-Straße 15 - D-60348 Frankfurt am Main, Germany.
Francesco PampaloniPhysical Biology/Physikalische Biologie (IZN, FB 15), Buchmann Institute for Molecular Life Sciences (BMLS), Cluster of Excellence Frankfurt - Macromolecular Complexes (CEF - MC), Goethe Universität - Frankfurt am Main (Campus Riedberg), Max-von-Laue-Straße 15 - D-60348 Frankfurt am Main, Germany.
Ernst H K StelzerPhysical Biology/Physikalische Biologie (IZN, FB 15), Buchmann Institute for Molecular Life Sciences (BMLS), Cluster of Excellence Frankfurt - Macromolecular Complexes (CEF - MC), Goethe Universität - Frankfurt am Main (Campus Riedberg), Max-von-Laue-Straße 15 - D-60348 Frankfurt am Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional multicellular aggregates such as spheroids provide reliable in vitro substitutes for tissues. Quantitative characterization of spheroids at the cellular level is fundamental. We present the first pipeline that provides three-dimensional, high-quality images of intact spheroids at cellular resolution and a comprehensive image analysis that completes traditional image segmentation by algorithms from other fields. The pipeline combines light sheet-based fluorescence microscopy of optically cleared spheroids with automated nuclei segmentation (F score: 0.88) and concepts from graph analysis and computational topology. Incorporating cell graphs and alpha shapes provided more than 30 features of individual nuclei, the cellular neighborhood and the spheroid morphology. The application of our pipeline to a set of breast carcinoma spheroids revealed two concentric layers of different cell density for more than 30,000 cells. The thickness of the outer cell layer depends on a spheroid's size and varies between 50% and 75% of its radius. In differently-sized spheroids, we detected patches of different cell densities ranging from 5 × 10

Indexed as

Cellular MicroenvironmentImaging, Three-DimensionalMicroscopy, FluorescenceCell CountCell Line, TumorCell NucleusHumansImage Processing, Computer-AssistedSpheroids, Cellular

Identifiers

PMID28255161
PMCPMC5334646

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Registered trials

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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.