Literature DB >> 27071693

High resolution FTIR imaging provides automated discrimination and detection of single malaria parasite infected erythrocytes on glass.

David Perez-Guaita1, Dean Andrew2, Philip Heraud1, James Beeson3, David Anderson2, Jack Richards3, Bayden R Wood1.   

Abstract

New highly sensitive tools for malaria diagnostics are urgently needed to enable the detection of infection in asymptomatic carriers and patients with low parasitemia. In pursuit of a highly sensitive diagnostic tool that can identify parasite infections at the single cell level, we have been exploring Fourier transform infrared (FTIR) microscopy using a Focal Plane Array (FPA) imaging detector. Here we report for the first time the application of a new optic configuration developed by Agilent that incorporates 25× condenser and objective Cassegrain optics with a high numerical aperture (NA = 0.81) along with additional high magnification optics within the microscope to provide 0.66 micron pixel resolution (total IR system magnification of 61×) to diagnose malaria parasites at the single cell level on a conventional glass microscope slide. The high quality images clearly resolve the parasite's digestive vacuole demonstrating sub-cellular resolution using this approach. Moreover, we have developed an algorithm that first detects the cells in the infrared image, and secondly extracts the average spectrum. The average spectrum is then run through a model based on Partial Least Squares-Discriminant Analysis (PLS-DA), which diagnoses unequivocally the infected from normal cells. The high quality images, and the fact this measurement can be achieved without a synchrotron source on a conventional glass slide, shows promise as a potential gold standard for malaria detection at the single cell level.

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Year:  2016        PMID: 27071693     DOI: 10.1039/c5fd00181a

Source DB:  PubMed          Journal:  Faraday Discuss        ISSN: 1359-6640            Impact factor:   4.008


  8 in total

1.  Multiplexed Fourier Transform Infrared and Raman Imaging.

Authors:  Guillermo Quintás; Bayden R Wood; Hugh J Byrne; David Perez-Guaita
Journal:  Methods Mol Biol       Date:  2021

Review 2.  Infrared Spectroscopic Imaging Advances as an Analytical Technology for Biomedical Sciences.

Authors:  Tomasz P Wrobel; Rohit Bhargava
Journal:  Anal Chem       Date:  2018-02-06       Impact factor: 6.986

3.  Single Cell Imaging of Nuclear Architecture Changes.

Authors:  Rikke Brandstrup Morrish; Michael Hermes; Jeremy Metz; Nicholas Stone; Stefano Pagliara; Richard Chahwan; Francesca Palombo
Journal:  Front Cell Dev Biol       Date:  2019-07-24

Review 4.  Paving the Way: Contributions of Big Data to Apicomplexan and Kinetoplastid Research.

Authors:  Robyn S Kent; Emma M Briggs; Beatrice L Colon; Catalina Alvarez; Sara Silva Pereira; Mariana De Niz
Journal:  Front Cell Infect Microbiol       Date:  2022-06-06       Impact factor: 6.073

5.  A pilot study on fingerprinting Leishmania species from the Old World using Fourier transform infrared spectroscopy.

Authors:  Andrea Hornemann; Denise Sinning; Sofia Cortes; Lenea Campino; Peggy Emmer; Katrin Kuhls; Gerhard Ulm; Marcus Frohme; Burkhard Beckhoff
Journal:  Anal Bioanal Chem       Date:  2017-10-28       Impact factor: 4.142

6.  Spectroscopic imaging of biomaterials and biological systems with FTIR microscopy or with quantum cascade lasers.

Authors:  James A Kimber; Sergei G Kazarian
Journal:  Anal Bioanal Chem       Date:  2017-08-29       Impact factor: 4.142

7.  Detection of mycoplasma in contaminated mammalian cell culture using FTIR microspectroscopy.

Authors:  Katia Wehbe; Marzia Vezzalini; Gianfelice Cinque
Journal:  Anal Bioanal Chem       Date:  2018-03-17       Impact factor: 4.142

8.  Comparison of spectral and spatial denoising techniques in the context of High Definition FT-IR imaging hyperspectral data.

Authors:  Paulina Koziol; Magda K Raczkowska; Justyna Skibinska; Sławka Urbaniak-Wasik; Czesława Paluszkiewicz; Wojciech Kwiatek; Tomasz P Wrobel
Journal:  Sci Rep       Date:  2018-09-25       Impact factor: 4.379

  8 in total

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