Evidence map›Paper›PMID 37529296›Full record

ArticleQuantitative plant biology2023

Quantification of pollen viability in

Vipin Kumar, Nishant Goyal, Abhishek Prasad, Suresh Babu, Kedar Khare, Gitanjali Yadav

Abstract read
In one paragraph

Article in Quantitative plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Quantification of pollen viability inQuantitative plant biology · 2023
    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

6 authors.

Vipin KumarBiodiversity Informatics Laboratory, National Institute of Plant Genome Research, New Delhi, India.
Nishant GoyalDepartment of Physics, Indian Institute of Technology Delhi, New Delhi, India.
Abhishek PrasadBiodiversity Informatics Laboratory, National Institute of Plant Genome Research, New Delhi, India.
Suresh BabuSchool of Human Ecology, Dr. B. R. Ambedkar University Delhi, New Delhi, India.
Kedar KhareOptics and Photonics Centre, Indian Institute of Technology Delhi, New Delhi, India.
Gitanjali YadavBiodiversity Informatics Laboratory, National Institute of Plant Genome Research, New Delhi, India.ORCID https://orcid.org/0000-0001-6591-9964

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pollen grains represent the male gametes of seed plants and their viability is critical for sexual reproduction in the plant life cycle. Palynology and viability studies have traditionally been used to address a range of botanical, ecological and geological questions, but recent work has revealed the importance of pollen viability in invasion biology as well. Here, we report an efficient visual method for assessing the viability of pollen using digital holographic microscopy (DHM). Imaging data reveal that quantitative phase information provided by the technique can be correlated with viability as indicated by the outcome of the colorimetric test. We successfully test this method on pollen grains of

Indexed as

classificationinvasive speciesLantana camarapollen viabilityquantitative phase imaging

Identifiers

PMID37529296
PMCPMC10388712

What OpenQuestion holds

Textmetadata
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.