Evidence map›Paper›PMID 35916417›Full record

ReviewACS nano2022

Quantitative Phase Imaging: Recent Advances and Expanding Potential in Biomedicine.

Thang L Nguyen, Soorya Pradeep, Robert L Judson-Torres, Jason Reed, Michael A Teitell, Thomas A Zangle

Abstract readReview
In one paragraph

Review in ACS nano, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 1 pooled it
–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

86 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Mesolens imaging in microbiology.Essays in biochemistry · 2026
    Review
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26 more citing papers are in PubMed but not listed here.

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

6 authors.

Soorya Pradeep
Robert L Judson-Torres
Michael A TeitellORCID 0000-0002-4495-8750

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Robert Damoiseaux · 1985 to 2026
$134.5M
Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Renato Martins · 1985 to 2026
$51.0M
(PQD5) Mass Profiling Melanoma Responses to Improve Therapy Choices and PrognosisR01CA185189 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REED, JASON C, TEITELL, MICHAEL A · 2014 to 2017
$1.9M
Circumventing acquired carboplatin resistance in triple-negative breast cancersR01CA246182 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI HARRELL, JOSHUA (CHUCK) · 2020 to 2024
$1.9M
Reverse Mitochondrial Genetics Enabled by BlastR01GM114188 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHIOU, PEI-YU, TEITELL, MICHAEL A · 2015 to 2018
$1.9M
SPOTs: Optical Technologies for Instantly Quantifying Multicellular Response ProfilesR01GM127985 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHIOU, PEI-YU, TEITELL, MICHAEL A · 2020 to 2023
$1.7M
(PQ5) Mitochondrial Transfer in Tumor Heterogeneity and Acquired Resistence to TherapyR21CA227480 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TEITELL, MICHAEL A · 2019 to 2020
$373k
NCI NIH HHS P30 CA016042NCI NIH HHS P30 CA016059NCI NIH HHS R01 CA185189NCI NIH HHS R01 CA246182NCI NIH HHS R21 CA227480NIGMS NIH HHS R01 GM114188NIGMS NIH HHS R01 GM127985
6 · The paper itself

Abstract

Quantitative phase imaging (QPI) is a label-free, wide-field microscopy approach with significant opportunities for biomedical applications. QPI uses the natural phase shift of light as it passes through a transparent object, such as a mammalian cell, to quantify biomass distribution and spatial and temporal changes in biomass. Reported in cell studies more than 60 years ago, ongoing advances in QPI hardware and software are leading to numerous applications in biology, with a dramatic expansion in utility over the past two decades. Today, investigations of cell size, morphology, behavior, cellular viscoelasticity, drug efficacy, biomass accumulation and turnover, and transport mechanics are supporting studies of development, physiology, neural activity, cancer, and additional physiological processes and diseases. Here, we review the field of QPI in biology starting with underlying principles, followed by a discussion of technical approaches currently available or being developed, and end with an examination of the breadth of applications in use or under development. We comment on strengths and shortcomings for the deployment of QPI in key biomedical contexts and conclude with emerging challenges and opportunities based on combining QPI with other methodologies that expand the scope and utility of QPI even further.

Indexed as

MicroscopyNeoplasmsAnimalsCell SizeHumansMammalsSoftwarebiophysicsdiagnosticsholographyinterferometrymicroscopyphase retrievalquantitative phase imagingtomography

Identifiers

PMID35916417
PMCPMC10112851

What Socratic holds

Textmetadata
LicenceTDM
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.