Evidence map›Paper›PMID 30837490›Full record

ArticleScientific reports2019

Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition.

Vishesh Dubey, Daria Popova, Azeem Ahmad, Ganesh Acharya, Purusotam Basnet, Dalip Singh Mehta, Balpreet Singh Ahluwalia

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Digital Holographic Microscopy for Phenotypic Profiling of Adherent Cells.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Article
  4. [Advances in the Application of Artificial Intelligence in the Field of Male Infertility].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Review
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  8. Article
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  14. Article
  15. CatSper and its CaM-like CaFASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Machine learning for sperm selection.Nature reviews. Urology · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 3 countries.

Vishesh DubeyApplied Optics and Biophotonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, Delhi, India.ORCID 0000-0002-2753-0445
Daria PopovaDepartment of Clinical Medicine, UiT The Arctic Univ. of Norway, Tromsø, Norway.
Azeem AhmadApplied Optics and Biophotonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, Delhi, India.
Ganesh AcharyaDepartment of Clinical Medicine, UiT The Arctic Univ. of Norway, Tromsø, Norway.
Purusotam BasnetDepartment of Clinical Medicine, UiT The Arctic Univ. of Norway, Tromsø, Norway.
Dalip Singh MehtaApplied Optics and Biophotonics Laboratory, Department of Physics, Indian Institute of Technology Delhi, Delhi, India.
Balpreet Singh AhluwaliaDepartment of Physics and Technology, UiT The Arctic Univ. of Norway, Tromsø, Norway. balpreet.singh.ahluwalia@uit.no.
Indian Institute of Technology Delhi · INUiT The Arctic University of Norway · NOKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Semen quality assessed by sperm count and sperm cell characteristics such as morphology and motility, is considered to be the main determinant of men's reproductive health. Therefore, sperm cell selection is vital in assisted reproductive technology (ART) used for the treatment of infertility. Conventional bright field optical microscopy is widely utilized for the imaging and selection of sperm cells based on the qualitative analysis by experienced clinicians. In this study, we report the development of a highly sensitive quantitative phase microscopy (QPM) using partially spatially coherent light source, which is a label-free, non-invasive and high-resolution technique to quantify various biophysical parameters. The partial spatial coherence nature of light source provides a significant improvement in spatial phase sensitivity and hence reconstruction of the phase of the entire sperm cell is demonstrated, which was otherwise not possible using highly spatially coherent light source. High sensitivity of the system enables quantitative phase imaging of the specimens having very low refractive index contrast with respect to the medium like tail of the sperm cells. Further, it also benefits with accurate quantification of 3D-morphological parameters of sperm cells which might be helpful in the infertility treatment. The quantitative analysis of more than 2500 sperm cells under hydrogen peroxide (H

Indexed as

HolographyImage Processing, Computer-AssistedMachine LearningMicroscopyOxidative StressCell MovementDose-Response Relationship, DrugHumansHydrogen PeroxideMaleSemen AnalysisSpermatozoaHydrogen Peroxide

Identifiers

PMID30837490
PMCPMC6401136
OpenAlexW2919129112

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.