ReviewMedical & biological engineering & computing2010
Biophotonic techniques for the study of malaria-infected red blood cells.
Review in Medical & biological engineering & computing, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
Who cites it
13 citing papers in PubMed, 30 citations in OpenAlex.
- Enhanced detection of malaria infected red blood cells through phase driven classification.Scientific reports · 2025Article
- Viscoelastic phenotyping of red blood cells.Biophysical journal · 2024Article
- 2,3-Diphosphoglycerate and the Protective Effect of Pyruvate Kinase Deficiency against Malaria Infection-Exploring the Role of the Red Blood Cell Membrane.International journal of molecular sciences · 2023Article
- Biophysical Tools and Concepts Enable Understanding of Asexual Blood Stage Malaria.Frontiers in cellular and infection microbiology · 2022Review
- Unbiased High-Precision Cell Mechanical Measurements with Microconstrictions.Biophysical journal · 2017Article
- Modeling cytoadhesion of Plasmodium falciparum-infected erythrocytes and leukocytes-common principles and distinctive features.FEBS letters · 2016Review
- A Comprehensive Review of Optical Stretcher for Cell Mechanical Characterization at Single-Cell Level.Micromachines · 2016Review
- Microconstriction arrays for high-throughput quantitative measurements of cell mechanical properties.Biophysical journal · 2015Article
- Review
- Nanohydroxyapatite shape and its potential role in bone formation: an analytical study.Journal of the Royal Society, Interface · 2014Article
- An automated live imaging platform for studying merozoite egress-invasion in malaria cultures.Biophysical journal · 2013Article
- A FRET sensor for non-invasive imaging of amyloid formation in vivo.Chemphyschem : a European journal of chemical physics and physical chemistry · 2011Article
- Micro and nanotechnology for biological and biomedical applications.Medical & biological engineering & computing · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 3 countries.
Funding
Abstract
Investigation of the homeostasis of red blood cells upon infection by Plasmodium falciparum poses complex experimental challenges. Changes in red cell shape, volume, protein, and ion balance are difficult to quantify. In this article, we review a wide range of optical techniques for quantitative measurements of critical homeostatic parameters in malaria-infected red blood cells. Fluorescence lifetime imaging and tomographic phase microscopy, quantitative deconvolution microscopy, and X-ray microanalysis, are used to measure haemoglobin concentration, cell volume, and ion contents. Atomic force microscopy is briefly reviewed in the context of these optical methodologies. We also describe how optical tweezers and optical stretchers can be usefully applied to empower basic malaria research to yield diagnostic information on cell compliance changes upon malaria infection. The combined application of these techniques sheds new light on the detailed mechanisms of malaria infection providing potential for new diagnostic or therapeutic approaches.
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Identifiers
What OpenQuestion holds
Registered trials
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.