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Dataset Information

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


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 spect

SUBMITTER: Kwon IH 

PROVIDER: S-EPMC11757776 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature