Focal Plane Array (FPA) Fourier Transform Infrared (FT-IR) Imaging Spectroscopy as a new technique to evaluate of human oocytes quality

Placenta ◽  
2011 ◽  
Vol 32 ◽  
pp. S281
Author(s):  
Giorgia Gioacchini ◽  
Oliana Carnevali ◽  
Elisabetta Giorgini ◽  
Lisa Vaccari ◽  
Veronica Bianchi ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Focal Plane ◽  
Imaging Spectroscopy ◽  
Fourier Transform Infrared ◽  
Focal Plane Array ◽  
New Technique ◽  
Human Oocytes ◽  
Ir Imaging ◽  
Ft Ir ◽  
A New Technique

Evaluation of human oocytes ageing by focal plane array (FPA) fourier transform infrared (FT-IR) imaging spectroscopy

2011 ◽  
Vol 96 (3) ◽  
pp. S238-S239 ◽  
Author(s):  
G. Gioacchini ◽  
O. Carnevali ◽  
E. Giorgini ◽  
L. Vaccari ◽  
V. Bianchi ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Focal Plane ◽  
Imaging Spectroscopy ◽  
Fourier Transform Infrared ◽  
Focal Plane Array ◽  
Human Oocytes ◽  
Ir Imaging ◽  
Ft Ir

Fourier Transform Infrared Photopyroelectric Spectroscopy of Solids: A New Technique

1990 ◽  
Vol 44 (1) ◽  
pp. 132-143 ◽  
Author(s):  
A. Mandelis ◽  
F. Boroumand ◽  
H. Solka ◽  
J. Highfield ◽  
H. Van Den Bergh
Keyword(s):  
Fourier Transform ◽  
Fourier Transform Infrared ◽  
New Technique ◽  
Solid Materials ◽  
Analytical Technique ◽  
Spectroscopic Investigations ◽  
Ft Ir ◽  
Photothermal Methods ◽  
Salient Features ◽  
A New Technique

A novel analytical technique, Fourier transform infrared photopyroelectric spectroscopy (FT-IR-P2ES) is demonstrated and applied to spectroscopic investigations of solid materials. The salient features of the technique and its advantages over other conventional FT-IR photothermal methods are discussed. A few selected quantitative applications are presented as examples of the versatility and sensitivity of the new technique.

Time-Resolved Fourier Transform Infrared Spectroscopic Imaging

2003 ◽  
Vol 57 (4) ◽  
pp. 357-366 ◽  
Author(s):  
Rohit Bhargava ◽  
Ira W. Levin
Keyword(s):  
Fourier Transform ◽  
Imaging Modality ◽  
Spectroscopic Imaging ◽  
Fourier Transform Infrared ◽  
Dynamic Processes ◽  
Time Resolved ◽  
Ir Imaging ◽  
Infrared Spectroscopic ◽  
Infrared Spectroscopic Imaging ◽  
Ft Ir

Fourier transform infrared (FT-IR) imaging allows simultaneous spectral characterization of large spatial areas due to its multichannel detection advantage. The acquisition of large amounts of data in the multichannel configuration results, however, in a poor temporal resolution of sequentially acquired data sets, which limits the examination of dynamic processes to processes that have characteristic time scales of the order of minutes. Here, we introduce the concept and instrumental details of a time-resolved infrared spectroscopic imaging modality that permits the examination of repetitive dynamic processes whose half-lives are of the order of milliseconds. As an illustration of this implementation of step-scan FT-IR imaging, we examine the molecular responses to external electric-field perturbations of a microscopically heterogeneous polymer–liquid crystal composite. Analysis of the spectroscopic data using conventional univariate and generalized two-dimensional (2D) correlation methods emphasizes an additional capability for accessing of simultaneous spatial and temporal chemical measurements of molecular dynamic processes.

scholarly journals Focal plane array detector-based micro-Fourier-transform infrared imaging for the analysis of microplastics in environmental samples

2015 ◽  
Vol 12 (5) ◽  
pp. 563 ◽  
Author(s):  
Martin Günter Joachim Löder ◽  
Mirco Kuczera ◽  
Svenja Mintenig ◽  
Claudia Lorenz ◽  
Gunnar Gerdts
Keyword(s):  
Fourier Transform ◽  
Focal Plane ◽  
Environmental Samples ◽  
Infrared Imaging ◽  
Fourier Transform Infrared ◽  
Focal Plane Array ◽  
Particle Identification ◽  
The Arctic ◽  
Array Detector ◽  
Fourier Transform Infrared Imaging

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.

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