Literature DB >> 19475137

Resonance Raman microscopy in combination with partial dark-field microscopy lights up a new path in malaria diagnostics.

Bayden R Wood1, Antje Hermelink, Peter Lasch, Keith R Bambery, Grant T Webster, Mehdi Asghari Khiavi, Brian M Cooke, Samantha Deed, Dieter Naumann, Don McNaughton.   

Abstract

Our goal is to produce a rapid and accurate diagnostic tool for malaria using resonance Raman spectroscopy to detect small inclusions of haemozoin in Plasmodium falciparum infected red blood cells. In pursuit of this aim we serendipitously discovered a partial dark-field effect generated by our experimental setup, which helps identify in thick blood films potential parasites that are normally difficult to see with conventional bright-field microscopy. The haemozoin deposits 'light up' and these can be selectively targeted with the Raman microscope to confirm the presence or absence of haemozoin by the strong 1569 cm(-1) band, which is a marker for haemozoin. With newly developed imaging Raman microscopes incorporating ultra-sensitive rapid readout CCDs it is possible to obtain spectra with a good signal-to-noise ratio in 1 second. Moreover, images from a smear of potentially infected cells can be recorded and analysed with multivariate methods. The reconstructed images show what appear to be sub-micron-inclusions of haemozoin in some cells indicating that the technique has potential to identify low pigmented forms of the parasite including early trophozoite-stage infected cells. Further work is required to unambiguously confirm the presence of such forms through systematic staining but the results are indeed promising and may lead to the development of a new Raman-based malaria diagnostic.

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Year:  2009        PMID: 19475137     DOI: 10.1039/b822603b

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  7 in total

1.  Direct detection of malaria infected red blood cells by surface enhanced Raman spectroscopy.

Authors:  Funing Chen; Briana R Flaherty; Charli E Cohen; David S Peterson; Yiping Zhao
Journal:  Nanomedicine       Date:  2016-03-23       Impact factor: 5.307

2.  Hemozoin-generated vapor nanobubbles for transdermal reagent- and needle-free detection of malaria.

Authors:  Ekaterina Y Lukianova-Hleb; Kelly M Campbell; Pamela E Constantinou; Janet Braam; John S Olson; Russell E Ware; David J Sullivan; Dmitri O Lapotko
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-30       Impact factor: 11.205

3.  Combined confocal Raman and quantitative phase microscopy system for biomedical diagnosis.

Authors:  Jeon Woong Kang; Niyom Lue; Chae-Ryon Kong; Ishan Barman; Narahara C Dingari; Stephen J Goldfless; Jacquin C Niles; Ramachandra R Dasari; Michael S Feld
Journal:  Biomed Opt Express       Date:  2011-08-01       Impact factor: 3.732

4.  Red blood cells polarize green laser light revealing hemoglobin's enhanced non-fundamental Raman modes.

Authors:  Katarzyna M Marzec; David Perez-Guaita; Marleen de Veij; Don McNaughton; Malgorzata Baranska; Matthew W A Dixon; Leann Tilley; Bayden R Wood
Journal:  Chemphyschem       Date:  2014-09-26       Impact factor: 3.102

5.  Transdermal Diagnosis of Malaria Using Vapor Nanobubbles.

Authors:  Ekaterina Lukianova-Hleb; Sarah Bezek; Reka Szigeti; Alexander Khodarev; Thomas Kelley; Andrew Hurrell; Michail Berba; Nirbhay Kumar; Umberto D'Alessandro; Dmitri Lapotko
Journal:  Emerg Infect Dis       Date:  2015-07       Impact factor: 6.883

6.  Detection and quantification of early-stage malaria parasites in laboratory infected erythrocytes by attenuated total reflectance infrared spectroscopy and multivariate analysis.

Authors:  Aazam Khoshmanesh; Matthew W A Dixon; Shannon Kenny; Leann Tilley; Don McNaughton; Bayden R Wood
Journal:  Anal Chem       Date:  2014-04-17       Impact factor: 6.986

7.  Limitations of haemozoin-based diagnosis of Plasmodium falciparum using dark-field microscopy.

Authors:  Charles Delahunt; Matthew P Horning; Benjamin K Wilson; Joshua L Proctor; Michael C Hegg
Journal:  Malar J       Date:  2014-04-17       Impact factor: 2.979

  7 in total

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