Evidence map›Paper›PMID 34312564›Full record

ArticleNature methods2021

Universal autofocus for quantitative volumetric microscopy of whole mouse brains.

L Silvestri, M C Müllenbroich, I Costantini, A P Di Giovanna, G Mazzamuto, A Franceschini, D Kutra, A Kreshuk, C Checcucci, L O Toresano and 3 more

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
12.0field-weighted citation impact, top 1% of its field
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

32 citing papers in PubMed, 73 citations in OpenAlex.

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  17. Active Remote Focus Stabilization in Oblique Plane Microscopy.bioRxiv : the preprint server for biology · 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

13 authors at 4 institutions in 4 countries.

L SilvestriDepartment of Physics and Astronomy, University of Florence, Sesto Fiorentino, Italy. silvestri@lens.unifi.it.ORCID http://orcid.org/0000-0001-9215-9104
M C MüllenbroichEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy.ORCID http://orcid.org/0000-0003-0113-8573
I CostantiniEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy.ORCID http://orcid.org/0000-0002-8464-7324
A P Di GiovannaEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy.
G MazzamutoEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy.ORCID http://orcid.org/0000-0003-3077-3904
A FranceschiniEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy.
D KutraCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID http://orcid.org/0000-0003-4202-3908
A KreshukCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID http://orcid.org/0000-0003-1334-6388
C CheccucciEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy.ORCID http://orcid.org/0000-0002-9659-6771
L O ToresanoDepartment of Information Engineering (DINFO), University of Florence, Sesto Fiorentino, Italy.
P FrasconiDepartment of Information Engineering (DINFO), University of Florence, Sesto Fiorentino, Italy.
L SacconiEuropean Laboratory for Non-linear Spectroscopy (LENS), Sesto Fiorentino, Italy.ORCID http://orcid.org/0000-0002-9320-5085
F S PavoneDepartment of Physics and Astronomy, University of Florence, Sesto Fiorentino, Italy.
National Research Council · ITUniversity of Florence · ITEuropean Molecular Biology Laboratory · DEEuropean Theoretical Spectroscopy Facility · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unbiased quantitative analysis of macroscopic biological samples demands fast imaging systems capable of maintaining high resolution across large volumes. Here we introduce RAPID (rapid autofocusing via pupil-split image phase detection), a real-time autofocus method applicable in every widefield-based microscope. RAPID-enabled light-sheet microscopy reliably reconstructs intact, cleared mouse brains with subcellular resolution, and allowed us to characterize the three-dimensional (3D) spatial clustering of somatostatin-positive neurons in the whole encephalon, including densely labeled areas. Furthermore, it enabled 3D morphological analysis of microglia across the entire brain. Beyond light-sheet microscopy, we demonstrate that RAPID maintains high image quality in various settings, from in vivo fluorescence imaging to 3D tracking of fast-moving organisms. RAPID thus provides a flexible autofocus solution that is suitable for traditional automated microscopy tasks as well as for quantitative analysis of large biological specimens.

Indexed as

AnimalsBrainImage Processing, Computer-AssistedImaging, Three-DimensionalMaleMiceMicrogliaMicroscopy, Fluorescence

Identifiers

PMID34312564
OpenAlexW3186572344

What OpenQuestion holds

Textmetadata
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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.