Evidence map›Paper›PMID 38434231›Full record

ArticleJournal of biomedical optics2025

Perspectives on label-free microscopy of heterogeneous and dynamic biological systems.

Dan L Pham, Amani A Gillette, Jeremiah Riendeau, Kasia Wiech, Emmanuel Contreras Guzman, Rupsa Datta, Melissa C Skala

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

7 authors.

Dan L PhamUniversity of Wisconsin-Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States.ORCID 0000-0003-1901-2987
Amani A GilletteMorgridge Institute for Research, Madison, Wisconsin, United States.ORCID 0000-0002-1470-3300
Jeremiah RiendeauMorgridge Institute for Research, Madison, Wisconsin, United States.
Kasia WiechUniversity of Wisconsin-Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States.
Emmanuel Contreras GuzmanMorgridge Institute for Research, Madison, Wisconsin, United States.
Rupsa DattaMorgridge Institute for Research, Madison, Wisconsin, United States.ORCID 0000-0002-6432-2389
Melissa C SkalaUniversity of Wisconsin-Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States.ORCID 0000-0002-6320-7637

Funding

Functional optical imaging for rapid, label-free predictions of treatment response and clonal evolution in patient-derived cancer organoidsR01CA272855 · NCI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI Dustin A Deming, Melissa Caroline Skala · 2023 to 2026
$3.1M
Label-free imaging of CAR T cell metabolismR01CA278051 · NCI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI Christian Capitini, Krishanu Saha · 2023 to 2026
$2.6M
Label-free single-cell imaging for quality control of cardiomyocyte biomanufacturingR01HL165726 · NHLBI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI Sean P Palecek, Melissa Caroline Skala · 2023 to 2026
$2.5M
Development and Validation of Photothermal Optical Coherence Tomography for Retinal ImagingR21EY033558 · NEI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI SKALA, MELISSA CAROLINE · 2022 to 2023
$480k
NCI NIH HHS R01 CA272855NCI NIH HHS R01 CA278051NEI NIH HHS R21 EY033558NHLBI NIH HHS R01 HL165726
6 · The paper itself

Abstract

Significance: Advancements in label-free microscopy could provide real-time, non-invasive imaging with unique sources of contrast and automated standardized analysis to characterize heterogeneous and dynamic biological processes. These tools would overcome challenges with widely used methods that are destructive (e.g., histology, flow cytometry) or lack cellular resolution (e.g., plate-based assays, whole animal bioluminescence imaging). Aim: This perspective aims to (1) justify the need for label-free microscopy to track heterogeneous cellular functions over time and space within unperturbed systems and (2) recommend improvements regarding instrumentation, image analysis, and image interpretation to address these needs. Approach: Three key research areas (cancer research, autoimmune disease, and tissue and cell engineering) are considered to support the need for label-free microscopy to characterize heterogeneity and dynamics within biological systems. Based on the strengths (e.g., multiple sources of molecular contrast, non-invasive monitoring) and weaknesses (e.g., imaging depth, image interpretation) of several label-free microscopy modalities, improvements for future imaging systems are recommended. Conclusion: Improvements in instrumentation including strategies that increase resolution and imaging speed, standardization and centralization of image analysis tools, and robust data validation and interpretation will expand the applications of label-free microscopy to study heterogeneous and dynamic biological systems.

Indexed as

Histological TechniquesMicroscopyAnimalsFlow CytometryImage Processing, Computer-Assistedartificial intelligencecell dynamicsheterogeneitylabel-freemicroscopyopen-source software

Identifiers

PMID38434231
PMCPMC10903072

What OpenQuestion holds

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LicenceCC BY
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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.