Evidence map›Paper›PMID 38495713›Full record

ArticleBiomedical optics express2024

Assessing cell viability with dynamic optical coherence microscopy.

Chao J Liu, Jason T Smith, Yuanbo Wang, Jonathan N Ouellette, Jeremy D Rogers, Jonathan D Oliner, Michael Szulczewski, Eric Wait, William Brown, Adam Wax and 2 more

Abstract read
In one paragraph

Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Review
  5. Guide to dynamic OCT data analysis.Biomedical optics express · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

12 authors.

Chao J LiuElephas Biosciences Corporation, 1 Erdman Place, Madison, WI 53717, USA.ORCID https://orcid.org/0000-0002-1797-3920
Jason T SmithElephas Biosciences Corporation, 1 Erdman Place, Madison, WI 53717, USA.ORCID https://orcid.org/0000-0001-6675-5252
Yuanbo WangElephas Biosciences Corporation, 1 Erdman Place, Madison, WI 53717, USA.
Jonathan N OuelletteElephas Biosciences Corporation, 1 Erdman Place, Madison, WI 53717, USA.
Jeremy D RogersDepartment of Ophthalmology and Visual Sciences, University of Wisconsin Madison, 2828 Marshall Ct, Madison, WI 53705, USA.ORCID https://orcid.org/0000-0003-3049-2803
Jonathan D OlinerElephas Biosciences Corporation, 1 Erdman Place, Madison, WI 53717, USA.
Michael SzulczewskiElephas Biosciences Corporation, 1 Erdman Place, Madison, WI 53717, USA.
Eric WaitElephas Biosciences Corporation, 1 Erdman Place, Madison, WI 53717, USA.
William BrownLumedica Inc., 404 Hunt Street, Suite 510, Durham, NC 27701, USA.
Adam WaxLumedica Inc., 404 Hunt Street, Suite 510, Durham, NC 27701, USA.ORCID https://orcid.org/0000-0002-1827-5112
Kevin W EliceiriCenter for Quantitative Cell Imaging, 1675 Observatory Drive, Madison, WI 53706, USA.ORCID https://orcid.org/0000-0001-8678-670X
John RafterElephas Biosciences Corporation, 1 Erdman Place, Madison, WI 53717, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing cell viability is important in many fields of research. Current optical methods to assess cell viability typically involve fluorescent dyes, which are often less reliable and have poor permeability in primary tissues. Dynamic optical coherence microscopy (dOCM) is an emerging tool that provides label-free contrast reflecting changes in cellular metabolism. In this work, we compare the live contrast obtained from dOCM to viability dyes, and for the first time to our knowledge, demonstrate that dOCM can distinguish live cells from dead cells in murine syngeneic tumors. We further demonstrate a strong correlation between dOCM live contrast and optical redox ratio by metabolic imaging in primary mouse liver tissue. The dOCM technique opens a new avenue to apply label-free imaging to assess the effects of immuno-oncology agents, targeted therapies, chemotherapy, and cell therapies using live tumor tissues.

Identifiers

PMID38495713
PMCPMC10942685

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.