Evidence map›Paper›PMID 39190401›Full record

ArticleLab on a chip2024

Tracking of lineage mass

Jingzhou Zhang, Justin Griffin, Koushik Roy, Alexander Hoffmann, Thomas A Zangle

Abstract read
In one paragraph

Article in Lab on a chip, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Aardvark: Composite Visualizations of Trees, Time-Series, and Images.IEEE transactions on visualization and computer graphics · 2025
    Article
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

5 authors.

Jingzhou ZhangDepartment of Chemical Engineering, University of Utah, USA. tzangle@chemeng.utah.edu.
Justin GriffinDepartment of Chemical Engineering, University of Utah, USA. tzangle@chemeng.utah.edu.
Koushik RoyDivision of Microbiology and Immunology, Department of Pathology, School of Medicine, University of Utah, USA.ORCID 0000-0003-1818-9027
Alexander HoffmannSignaling Systems Laboratory, Institute for Quantitative and Computational Biosciences, and Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, CA, USA.ORCID 0000-0002-5607-3845
Thomas A ZangleDepartment of Chemical Engineering, University of Utah, USA. tzangle@chemeng.utah.edu.ORCID 0000-0001-5899-3517

Funding

Cell decision underlying B-cell immune responsesR01AI132731 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOFFMANN, ALEXANDER · 2018 to 2022
$2.2M
NIAID NIH HHS R01 AI132731
6 · The paper itself

Abstract

Measurements of cell lineages are central to a variety of fundamental biological questions, ranging from developmental to cancer biology. However, accurate lineage tracing requires nearly perfect cell tracking, which can be challenging due to cell motion during imaging. Here we demonstrate the integration of microfabrication, imaging, and image processing approaches to demonstrate a platform for cell lineage tracing. We use quantitative phase imaging (QPI), a label-free imaging approach that quantifies cell mass. This gives an additional parameter, cell mass, that can be used to improve tracking accuracy. We confine lineages within microwells fabricated to reduce cell adhesion to sidewalls made of a low refractive index polymer. This also allows the microwells themselves to serve as references for QPI, enabling measurement of cell mass even in confluent microwells. We demonstrate application of this approach to immortalized adherent and nonadherent cell lines as well as stimulated primary B cells cultured

Indexed as

RefractometryAnimalsB-LymphocytesCell LineageCell TrackingHumansMiceQuantitative Phase Imaging

Identifiers

PMID39190401
PMCPMC11412070

What OpenQuestion holds

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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.