Evidence map›Paper›PMID 36440196›Full record

ArticleFrontiers in endocrinology2022

Smartphone-microfluidic fluorescence imaging system for studying islet physiology.

Xiaoyu Yu, Yuan Xing, Yiyu Zhang, Pu Zhang, Yi He, Farid Ghamsari, Melur K Ramasubramanian, Yong Wang, Huiwang Ai, Jose Oberholzer

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
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

10 authors at 1 institution in 1 country.

Xiaoyu YuDepartment of Surgery, University of Virginia, Charlottesville, VA, United States.
Yuan XingDepartment of Surgery, University of Virginia, Charlottesville, VA, United States.
Yiyu ZhangDepartment of Molecular Physiology and Biological Physics, and Center for Membrane and Cell Physiology, University of Virginia, Charlottesville, VA, United States.
Pu ZhangDepartment of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA, United States.
Yi HeDepartment of Surgery, University of Virginia, Charlottesville, VA, United States.
Farid GhamsariDepartment of Surgery, University of Virginia, Charlottesville, VA, United States.
Melur K RamasubramanianDepartment of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA, United States.
Yong WangDepartment of Surgery, University of Virginia, Charlottesville, VA, United States.
Huiwang AiDepartment of Molecular Physiology and Biological Physics, and Center for Membrane and Cell Physiology, University of Virginia, Charlottesville, VA, United States.
Jose OberholzerDepartment of Surgery, University of Virginia, Charlottesville, VA, United States.
University of Virginia · US

Funding

An Integrated Fluorescent Biosensor, Imaging, and Analysis Toolkit for Islet BiologicsR01DK122253 · NIDDK · UNIVERSITY OF VIRGINIA · PI AI, HUIWANG · 2020 to 2023
$1.6M
Training Interdisciplinary Scientists for Functional Cure of DiabetesR25DK105924 · NIDDK · UNIVERSITY OF VIRGINIA · PI OBERHOLZER, JOSE · 2015 to 2019
$540k
NIDDK NIH HHS R01 DK122253NIDDK NIH HHS R25 DK105924
6 · The paper itself

Abstract

Smartphone technology has been recently applied for biomedical image acquisition and data analysis due to its high-quality imaging capability, and flexibility to customize multi-purpose apps. In this work, we developed and characterized a smartphone-microfluidic fluorescence imaging system for studying the physiology of pancreatic islets. We further evaluated the system capability by performing real-time fluorescence imaging on mouse islets labeled with either chemical fluorescence dyes or genetically encoded fluorescent protein indicators (GEFPIs). Our results showed that the system was capable of analyzing key beta-cell insulin stimulator-release coupling factors in response to various stimuli with high-resolution dynamics. Furthermore, the integration of a microfluidics allowed high-resolution detection of insulin secretion at single islet level. When compared to conventional fluorescence microscopes and macro islet perifusion apparatus, the system has the advantages of low cost, portable, and easy to operate. With all of these features, we envision that this smartphone-microfluidic fluorescence imaging system can be applied to study islet physiology and clinical applications.

Indexed as

Islets of LangerhansMicrofluidicsAnimalsInsulinMiceOptical ImagingSmartphoneInsulinfluorescence microscopeislet transplantmicrofluidicpancreatic isletsmartphoneType 1 diabetes

Identifiers

PMID36440196
PMCPMC9684609
OpenAlexW4308869769

What Socratic 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 Socratic graph.