Evidence map›Paper›PMID 37497517›Full record

ArticleBiomedical optics express2023

Three-dimensional imaging and quantification of mouse ovarian follicles via optical coherence tomography.

Marcello Magri Amaral, Aixia Sun, Yilin Li, Chao Ren, Anh Blue Truong, Saumya Nigam, Zexu Jiao, Ping Wang, Chao Zhou

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Journal of biomedical optics · 2025
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Marcello Magri AmaralBiomedical Engineering Department, Washington University in St Louis, 1 Brookings Dr, St Louis, MO, USA.ORCID https://orcid.org/0000-0002-9962-5646
Aixia SunPrecision Health Program, Michigan State University, East Lansing, MI, USA.
Yilin LiBiomedical Engineering Department, Washington University in St Louis, 1 Brookings Dr, St Louis, MO, USA.
Chao RenBiomedical Engineering Department, Washington University in St Louis, 1 Brookings Dr, St Louis, MO, USA.
Anh Blue TruongBiomedical Engineering Department, Washington University in St Louis, 1 Brookings Dr, St Louis, MO, USA.
Saumya NigamPrecision Health Program, Michigan State University, East Lansing, MI, USA.
Zexu JiaoDepartment of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, Tx, USA.
Ping WangPrecision Health Program, Michigan State University, East Lansing, MI, USA.ORCID https://orcid.org/0000-0001-6712-8939
Chao ZhouBiomedical Engineering Department, Washington University in St Louis, 1 Brookings Dr, St Louis, MO, USA.ORCID https://orcid.org/0000-0002-8679-3413
Washington University in St. Louis · USMichigan State University · USSouthwestern Medical Center

Funding

High throughput optical coherence tomography (OCT)-based imaging platform for label-free, non-invasive characterization of 3D tumor spheroids.R01EB025209 · NIBIB · WASHINGTON UNIVERSITY · PI ZHOU, CHAO · 2017 to 2021
$1.4M
Expansion Optical Coherence Microscopy (ExOCM)R21EB032684 · NIBIB · WASHINGTON UNIVERSITY · PI ZHOU, CHAO · 2022 to 2023
$431k
NIBIB NIH HHS R01 EB025209NIBIB NIH HHS R21 EB032684
6 · The paper itself

Abstract

Ovarian tissue cryopreservation has been successfully applied worldwide for fertility preservation. Correctly selecting the ovarian tissue with high follicle loading for freezing and reimplantation increases the likelihood of restoring ovarian function, but it is a challenging process. In this work, we explore the use of three-dimensional spectral-domain optical coherence tomography (SD-OCT) to identify different follicular stages, compare the identifications with H&E images, and measure the size and age-related follicular density distribution differences in mice ovaries. We use the thickness of the layers of granulosa cells to differentiate primordial and primary follicles from secondary follicles. The measured dimensions and age-related follicular distribution agree well with histological images and physiological aging. Finally, we apply attenuation coefficient map analyses to significantly improve the image contrast and the contrast-to-noise ratio (p < 0.001), facilitating follicle identification and quantification. We conclude that SD-OCT is a promising method to noninvasively evaluate ovarian follicles for ovarian tissue cryopreservation.

Identifiers

PMID37497517
PMCPMC10368055
OpenAlexW4380867119

What Socratic holds

Textmetadata
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.