Evidence map›Paper›PMID 39866361›Full record

ArticleJournal of biomedical optics2025

Hyperspectral analysis to assess gametocytogenesis stage progression in malaria-infected human erythrocytes.

Ik Hwan Kwon, Ji Youn Lee, Fuyuki Tokumasu, Sang-Won Lee, Jeeseong Hwang

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Ik Hwan KwonKorea Research Institute of Standards and Science, Division of Biomedical Metrology, Nanobio Measurement Group, Daejeon, Republic of Korea.ORCID 0000-0002-8400-4978
Ji Youn LeeKorea Research Institute of Standards and Science, Division of Biomedical Metrology, Biometrology Group, Daejeon, Republic of Korea.ORCID 0000-0002-4288-4559
Fuyuki TokumasuGunma University, Graduate School of Health Sciences, Department of Laboratory Sciences, Maebashi, Japan.ORCID 0000-0003-2790-1071
Sang-Won LeeKorea Research Institute of Standards and Science, Division of Biomedical Metrology, Nanobio Measurement Group, Daejeon, Republic of Korea.ORCID 0000-0001-6952-6957
Jeeseong HwangNational Institute of Standards and Technology, Applied Physics Division, Boulder, Colorado, United States.ORCID 0000-0002-9801-8529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Developments of anti-gametocyte drugs have been delayed due to insufficient understanding of gametocyte biology. We report a systematic workflow of data processing algorithms to quantify changes in the absorption spectrum and cell morphology of single malaria-infected erythrocytes. These changes may serve as biomarkers instrumental for the future development of antimalarial strategies, especially for anti-gametocyte drug design and testing. Image-based biomarkers may also be useful for nondestructive, label-free malaria detection and drug efficacy evaluation in resource-limited communities. Aim: We extend the application of hyperspectral microscopy to provide detailed insights into gametocyte stage progression through the quantitative analysis of absorbance spectra and cell morphology in malaria-infected erythrocytes. Approach: Malaria-infected erythrocytes at asexual and different gametocytogenesis stages were imaged through hyperspectral confocal microscopy. The preprocessing of the hyperspectral data cubes to transform them to color images and spectral angle mapper (SAM) analysis were first used to segment hemoglobin (Hb)- and hemozoin (Hz)-abundant areas within the host erythrocytes. Correlations between changes in cell morphology and increasing Hz-abundant areas of the infected erythrocytes were then examined to test their potential as optical biomarkers to determine the progression of infection, involving transitions from asexual to various gametocytogenesis stages. Results: Following successful segmentation of Hb- and Hz-abundant areas in malaria-infected erythrocytes through SAM analysis, a modest correlation between the segmented Hz-abundant area and cell shape changes over time was observed. A significant increase in both the areal fraction of Hz and the ellipticity of the cell confirms that the Hz fraction change correlates with the progression of gametocytogenesis. Conclusions: Our workflow enables the quantification of changes in host cell morphology and the relative contents of Hb and Hz at various parasite growth stages. The quantified results exhibit a trend that both the segmented areal fraction of intracellular Hz and the ellipticity of the host cell increase as gametocytogenesis progresses, suggesting that these two metrics may serve as useful biomarkers to determine the stage of gametocytogenesis.

Indexed as

ErythrocytesGametogenesisHyperspectral ImagingMalariaPlasmodium falciparumAlgorithmsHemeproteinsHemoglobinsHumansImage Processing, Computer-AssistedMicroscopy, ConfocalHemeproteinsHemoglobinshemozoinerythrocytegametocytegametogenesishemoglobinhemozoinhyperspectral imagingmalariaPlasmodium falciparumspectral angle mapper

Identifiers

PMID39866361
PMCPMC11757776

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.