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academies
Journal of Biomedical Research | ISSN: 0976-1683 | Volume 30
March 14-15, 2019 | London, UK
T issue Engineer ing, Stem Cel ls and Regenerat ive Medicine
Cel l and Gene Therapy
World Congress on
International Conference on
&
Joint Event
Image processing, detection of sepsis biomarkers and computation of concentration from intensity in
duplex LFIA
N Phogat, C Ruppert, H-P Deigner
and
M Kohl
Hochschule Furtwangen University, Germany
R
is a well - knowopen-source software for statistical analysis.
The complete algorithm is developed in R-software utilizing
the packages EB Image, ggplot2 and ggpmisc. The algorithm
involves the image-processing of the duplex LFIA green and red
quantum dots strips, through R package EB Image, followed by
linearly fitted calibration plots to compute the concentration
from intensity. These calibration plots also provide the
quantitative analysis of the duplex LFIA assay. The calibration
plots of red quantum dots at different specific concentrations
of green quantum dots, followed by green quantum dots at
different concentrations of red quantum dots, explain the fate
and effect of green and red QDs with respect to each other’s
presence in duplex LFIA assay. In future, the algorithm can be
implemented in an R package, utilizing a Shiny app to provide a
user-friendly stand-alone and web-based app.
Speaker Biography
N Phogat has done master’s in marine biotechnology from Goa University, Goa,
India. During this time, he was awarded fellowship for two years from department
of biotechnology, Government of India. During master’s studies, he also worked at
national chemical laboratory (NCL), Pune. He worked in the fields of nanobiotechnology,
bioinformatics and molecular biology. Later, he did his Master’s in biomedical engineering
from Furtwangen University, Germany. During this time, he worked as a programmer in
the area of bioinformatics. Currently, he is pursuing his Ph.D. from Tubingen University,
Tubingen, Germany. His PhD work is in the field of artificial intelligence, deep learning and
neural networks to develop new algorithm and software to detect and predict the DNA
nanostructures. Currently, along with PhD, he is also developing the new algorithm and
software for lateral flow and biological assays, utilizing the concepts of image processing
and machine learning. His research interests are in data science, artificial intelligence and
cryptography.
e:
N.Navneet@hs-furtwangen.deN Phogat et al.
, Biomed Res, Volume 30
DOI: 10.4066/biomedicalresearch-C1-026