Evidence map›Paper›PMID 35132059›Full record

ArticleNature communications2022

Live-dead assay on unlabeled cells using phase imaging with computational specificity.

Chenfei Hu, Shenghua He, Young Jae Lee, Yuchen He, Edward M Kong, Hua Li, Mark A Anastasio, Gabriel Popescu

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

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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

8 authors.

Chenfei Hu *Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.ORCID 0000-0002-9578-966X
Shenghua He *Department of Computer Science & Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Young Jae LeeBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.ORCID 0000-0003-2221-0853
Yuchen HeElectrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.ORCID 0000-0002-6430-1473
Edward M KongBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Hua LiDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Mark A AnastasioBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA. maa@illinois.edu.
Gabriel PopescuElectrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA. gpopescu@illinois.edu.ORCID 0000-0002-8296-8095

Funding

Quantitative histopathology for cancer prognosis using quantitative phase imaging on stained tissuesR01CA238191 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ANASTASIO, MARK A, ELICEIRI, KEVIN WILLIAM · 2019 to 2023
$3.1M
High accuracy optical growth assay of 3D cellular systemsR01GM129709 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BASHIR, RASHID · 2019 to 2022
$2.1M
Tissue microenvironment (TIMe) training programT32EB019944 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BHARGAVA, ROHIT, GASKINS, REX · 2016 to 2025
$1.9M
NCI NIH HHS R01 CA238191NIBIB NIH HHS T32 EB019944NIGMS NIH HHS R01 GM129709
6 · The paper itself

Abstract

Existing approaches to evaluate cell viability involve cell staining with chemical reagents. However, the step of exogenous staining makes these methods undesirable for rapid, nondestructive, and long-term investigation. Here, we present an instantaneous viability assessment of unlabeled cells using phase imaging with computation specificity. This concept utilizes deep learning techniques to compute viability markers associated with the specimen measured by label-free quantitative phase imaging. Demonstrated on different live cell cultures, the proposed method reports approximately 95% accuracy in identifying live and dead cells. The evolution of the cell dry mass and nucleus area for the labeled and unlabeled populations reveal that the chemical reagents decrease viability. The nondestructive approach presented here may find a broad range of applications, from monitoring the production of biopharmaceuticals to assessing the effectiveness of cancer treatments.

Indexed as

AnimalsCell DeathCell SurvivalCell TrackingCHO CellsCricetulusDeep LearningHeLa CellsHumansMicroscopy, Phase-ContrastOptical Imaging

Identifiers

PMID35132059
PMCPMC8821584

What OpenQuestion holds

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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.