scholarly journals Diagnosing malaria infected cells at the single cell level using focal plane array Fourier transform infrared imaging spectroscopy

The Analyst ◽  
2014 ◽  
Vol 139 (19) ◽  
pp. 4769-4774 ◽  
Author(s):  
Bayden R. Wood ◽  
Keith. R. Bambery ◽  
Matthew W. A. Dixon ◽  
Leann Tilley ◽  
Michael J. Nasse ◽  
...  

FTIR focal plane array imaging can be applied to diagnose single malaria infected cells in a thick film blood smear.

2015 ◽  
Vol 12 (5) ◽  
pp. 563 ◽  
Author(s):  
Martin Günter Joachim Löder ◽  
Mirco Kuczera ◽  
Svenja Mintenig ◽  
Claudia Lorenz ◽  
Gunnar Gerdts

Environmental context Microplastics are of increasing environmental concern following reports that they occur worldwide from the arctic to the deep sea. However, a reliable methodology that facilitates an automated measurement of abundance and identity of microplastics is still lacking. We present an analytical protocol that applies focal plane array detector-based infrared imaging of microplastics enriched on membrane filters applicable to investigations of microplastic pollution of the environment. Abstract The pollution of the environment with microplastics (plastic pieces <5 mm) is a problem of increasing concern. However, although this has been generally recognised by scientists and authorities, the analysis of microplastics is often done by visual inspection alone with potentially high error rates, especially for smaller particles. Methods that allow for a fast and reliable analysis of microplastics enriched on filters are lacking. Our study is the first to fill this gap by using focal plane array detector-based micro-Fourier-transform infrared imaging for analysis of microplastics from environmental samples. As a result of our iteratively optimised analytical approach (concerning filter material, measuring mode, measurement parameters and identification protocol), we were able to successfully measure the whole surface (>10-mm diameter) of filters with microplastics from marine plankton and sediment samples. The measurement with a high lateral resolution allowed for the detection of particles down to a size of 20 μm in only a fractional part of time needed for chemical mapping. The integration of three band regions facilitated the pre-selection of potential microplastics of the ten most important polymers. Subsequent to the imaging the review of the infrared spectra of the pre-selected potential microplastics was necessary for a verification of plastic polymer origin. The approach we present here is highly suitable to be implemented as a standard procedure for the analysis of small microplastics from environmental samples. However, a further automatisation with respect to measurement and subsequent particle identification would facilitate the even faster and fully automated analysis of microplastic samples.


1996 ◽  
Vol 450 ◽  
Author(s):  
C. Jelen ◽  
S. Slivken ◽  
G. J. Brown ◽  
M. Razeghi

ABSTRACTWe demonstrate long wavelength quantum well infrared photodetectors (QWIP) with GaAs quantum wells and GalnP barriers grown using gas-source molecular beam epitaxy. Wafers were grown with varying well widths. The optimum well width was 75 Å, which resulted in a detection peak at 13 μm and a cutoff wavelength of 15 μm Dark current measurements of the samples with 15 μm cutoff wavelength show low dark current densities. Preliminary focal plane array imaging is demonstrated.


Fibers ◽  
2016 ◽  
Vol 4 (4) ◽  
pp. 27 ◽  
Author(s):  
Michael Santiago Cintrón ◽  
Joseph Montalvo ◽  
Terri Von Hoven ◽  
James Rodgers ◽  
Doug Hinchliffe ◽  
...  

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