Evidence map›Paper›PMID 33664354›Full record

ArticleScientific reports2021

Ultrahigh-speed point scanning two-photon microscopy using high dynamic range silicon photomultipliers.

Vincent D Ching-Roa, Eben M Olson, Sherrif F Ibrahim, Richard Torres, Michael G Giacomelli

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Vincent D Ching-RoaDepartment of Biomedical Engineering, University of Rochester, 207 Goergen Hall, BOX 270168, Rochester, NY, 14627, USA.
Eben M OlsonDepartment of Laboratory Medicine, Yale University, New Haven, CT, USA.
Sherrif F IbrahimDepartment of Dermatology, University of Rochester Medical Center, Rochester, NY, USA.
Richard TorresDepartment of Laboratory Medicine, Yale University, New Haven, CT, USA.
Michael G GiacomelliDepartment of Biomedical Engineering, University of Rochester, 207 Goergen Hall, BOX 270168, Rochester, NY, 14627, USA. mgiacome@ur.rochester.edu.
University of Rochester · USYale University · USUniversity of Rochester Medical Center · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Fluorescence microscopy for evaluation of Mohs surgical marginsK22CA226035 · NCI · UNIVERSITY OF ROCHESTER · PI GIACOMELLI, MICHAEL GENE · 2019 to 2021
$559k
NCATS NIH HHS UL1 TR001863NCI NIH HHS K22 CA226035
6 · The paper itself

Abstract

Conventional two-photon microscopes use photomultiplier tubes, which enable high sensitivity but can detect relatively few photons per second, forcing longer pixel integration times and limiting maximum imaging rates. We introduce novel detection electronics using silicon photomultipliers that greatly extend dynamic range, enabling more than an order of magnitude increased photon detection rate as compared to state-of-the-art photomultiplier tubes. We demonstrate that this capability can dramatically improve both imaging rates and signal-to-noise ratio (SNR) in two-photon microscopy using human surgical specimens. Finally, to enable wider use of more advanced detection technology, we have formed the OpenSiPM project, which aims to provide open source detector designs for high-speed two-photon and confocal microscopy.

Indexed as

PhotonsElectronicsHumansMicroscopy, ConfocalRadionuclide ImagingSignal-To-Noise RatioSiliconSilicon

Identifiers

PMID33664354
PMCPMC7933192
OpenAlexW3135441945

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.