scholarly journals Spectral pre and post processing for infrared and Raman spectroscopy of biological tissues and cells

2016 ◽  
Vol 45 (7) ◽  
pp. 1865-1878 ◽  
Author(s):  
Hugh J. Byrne ◽  
Peter Knief ◽  
Mark E. Keating ◽  
Franck Bonnier

This review presents the current understanding of the factors influencing the quality of spectra recorded and the pre-processing steps commonly employed to improve on spectral quality, as well as some of the most common techniques for classification and analysis of the spectral data for biomedical applications.

2020 ◽  
Vol 20 (9) ◽  
pp. 4635-4645
Author(s):  
Jere Kekkonen ◽  
Tuomo Talala ◽  
Jan Nissinen ◽  
Ilkka Nissinen

1973 ◽  
Vol 51 (4) ◽  
pp. 609-617 ◽  
Author(s):  
D. Boal ◽  
G. A. Ozin

The thermally unstable compounds SiCl3X•N(CH3)3 and SiCl3X•N(CD3)3 where X = H, F, Br, or I are studied at −196 °C by infrared and Raman spectroscopy. The data are compatible with molecular five coordinate compounds having a trigonal bipyramidal stereochemistry with the ligand trimethylamine always in the axial position. Using the vibrational data and normal coordinate analyses in both the Cs and C3v configurations, X is suggested to be equatorial for H and F and axial for Br and I. The factors influencing the position of X in the compounds are discussed.


Molecules ◽  
2021 ◽  
Vol 26 (5) ◽  
pp. 1439
Author(s):  
Henry Horst Mantsch

Biomedical vibrational spectroscopy has come of age. The past twenty years have brought many advancements and new developments and now its practitioners face a new challenge: artificial intelligence. Artificial intelligence has the capability to detect meaningful relationships in data sets such as those found in an infrared or Raman spectrum. The present narrative assesses the degree to which biomedical vibrational spectroscopy has already embraced artificial intelligence and what can be expected going forward. This article belongs to the Special Issue Biomedical Applications of Infrared and Raman Spectroscopy.


2021 ◽  
Vol 7 (2) ◽  
pp. 504-506
Author(s):  
Thomas Reske ◽  
Katharina Wulf ◽  
Sabine Illner ◽  
Thomas Eickner ◽  
Niels Grabow ◽  
...  

Abstract Analysis of the active ingredient distribution of medical devices is typically performed using Raman spectroscopy, a method that is fast and inexpensive [1]. In addition, it offers the advantage of non-destructive analysis without the need for special sample preparation. Assuming that all components are Raman-active and present in sufficient quantities, their distribution can be well represented. The drug distribution in dexamethasone-loaded polymer nonwovens was investigated in order to draw conclusions on the quality of the fleece batches and to make predictions for the release behavior. In the present study, dexamethasone (DMS), a glucocorticoid was used as the active ingredient. Qualitative and quantitative studies of the content of DMS in polymer films by means of Raman spectroscopy have already been carried out in the working group [2]. A representative square section was examined to describe the distribution of active ingredients. The required number of measurement points (spectra) was determined earlier [2].


2021 ◽  
pp. 000370282110466
Author(s):  
Christine Massie ◽  
Keren Chen ◽  
Andrew J. Berger

Back-illuminated charged-coupled device (BI-CCD) arrays increase quantum efficiency but also amplify etaloning, a multiplicative, wavelength-dependent fixed-pattern effect. When spectral data from hundreds of BI-CCD rows are combined, the averaged spectrum will generally appear etalon-free. This can mask substantial etaloning at the row level, even if the BI-CCD has been treated to suppress the effect. This paper compares two methods of etalon correction, one with simple averaging and one with row-by-row calibration using a fluorescence standard. Two BI-CCD arrays, both roughened by the supplier to reduce etaloning, were used to acquire Raman spectra of murine bone specimens. For one array, etaloning was the dominant source of noise under the exposure conditions chosen, even for the averaged spectrum across all rows; near-infrared-excited Raman peaks were noticeably affected. In this case, row-by-row calibration improved the spectral quality of the average spectrum. The other CCD’s performance was shot-noise limited and therefore received no benefit from the extra calibration. The different results highlight the importance of checking for and correcting row-level fixed pattern when measuring weak Raman signals in the presence of a large fluorescence background.


Author(s):  
Tran Minh Hieu ◽  
Nguyen Duong Ngoc Mai Chi

This study applied SERVQUAL scale of Parasuraman et al to measure factors affecting customer satisfaction on service quality at Vietnam Technological and Commercial Joint Stock Bank - An Giang Branch (Techcombank An Giang). The study was conducted to survey 207 customers who have been using the service at Techcombank An Giang. The survey results were analyzed by the Cronbach's Alpha reliability test method, then used Exploratory factor analysis (EFA) to verify and evaluate the scale of service quality. The results of the regression analysis show that customer's satisfaction about service quality at Techcombank An Giang includes four factors: The factor with the highest level is the Empathy with Beta = 0.253, the second of factor is the Responsibility with Beta = 0.248, ranked third in the influence level is the Tangible with Beta = 0.235, and the lowest impact level is the Reliability with Beta = 0.144. The research also uses statistical methods to describe and test the differences of demographic factors with customer's satisfactionon service quality.The analysis results show that there is no difference between customer's satisfaction on service quality and factors such as gender, age, income, number of transaction banks, regular transaction banks, and time to use the service at Techcombank An Giang. Through the research results, the author would like to propose some ideas to improve the quality of services, thereby attracting new customers and importantly, keeping traditional customers because the development orientation of Techcombank is to take care of old customers to cross sell other products of the bank. The Stud results offer a basis for the branch to identify the factors influencing customer satisfaction on their service quality, thereby having an appropriate strategy to improve customer satisfaction.


2000 ◽  
Vol 26 (1) ◽  
pp. 501-520 ◽  
Author(s):  
L. Kiefert ◽  
H.A. Hänni ◽  
J-P. Chalain ◽  
W. Weber

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Aulia Dwi Oktavia ◽  
Aam Alamudi ◽  
Budi Susetyo

Unemployment is one of the economic problems in Indonesia. Judging from the level of education that was completed there were unemployment from the level of college graduates. This encourages the level of competition in getting jobs to be more stringent, so that college graduates (bachelor of Statistics in IPB) must have the preparation of various factors to maintain the quality of their graduates. The quality of college graduates can be seen from the length of time waiting to get a job. This study aims to determine the influential factors in getting a job for graduates of the IPB Statistics degree, so that the CHAID method can be used in this study. The results of CHAID's analysis in this study in the form of tree diagrams using α = 10% explained that the factors influencing the waiting period variables were sex, internship, and the ability to master statistical software, where the accuracy value generated by the classification model was 79.3 %.


2018 ◽  
Vol 3 (2) ◽  
pp. 161
Author(s):  
Satria Tri Nanda

<p><em>This research aims to identify the factors influencing the audit quality of auditors at Inspektorat Provinsi Riau. The population in this research were auditor, examiner, assistant examiner, and P2UPD (Pengawas Penyelenggara Urusan Pemerintah di Daerah) in charge at the Inspectorate in Riau Province and all Inspectorates in Districts and Cities in Riau Province. A total of 290 set of questionnaire were sent and a number of 184 of questionnaires were processed. Using regression analysis conducted by SPSS, the hypotheses testing analysis results show that experience, responsiveness, professional care, executive involvement</em><em>t, planning</em><em> and auditability have significant and positive effect on audit quality. These results indicate that the higher the levels of experience, responsiveness, professional care, executive involvement and auditability of Inspectorate officials, the better the quality of audit performed by the Inspectorate Officials of Riau Province.</em></p>


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