Pattern Recognition Software and Techniques for Biological Image Analysis
$30-250 USD
Closed
Posted about 9 years ago
$30-250 USD
Paid on delivery
The increasing prevalence of automated
image acquisition systems is
enabling new types of microscopy
experiments that generate large
image datasets. However, there is a
perceived lack of robust image
analysis systems required to process
these diverse datasets. Most automated
image analysis systems are
tailored for specific types of microscopy,
contrast methods, probes, and
even cell types. This imposes significant
constraints on experimental
design, limiting their application to
the narrow set of imaging methods
for which they were designed. One
of the approaches to address these
limitations is pattern recognition,
which was originally developed for
remote sensing, and is increasingly
being applied to the biology domain.
This approach relies on training
a computer to recognize patterns
in images rather than
developing algorithms or tuning
parameters for specific image processing
tasks. The generality of this
approach promises to enable data
mining in extensive image repositories,
and provide objective and
quantitative imaging assays for routine
use. Here, we provide a brief
overview of the technologies behind
pattern recognition and its use in
computer vision for biological and
biomedical imaging. We list available
software tools that can be used by
biologists and suggest practical experimental
considerations to make
the best use of pattern recognition
techniques for imaging assays.
Hello, I can finish your papers perfectly with fast and low prices of service. I have alot experience with academic writing, Latex and any equations. I'm a Master student at physics departement, speacialy at computational physics, I would be very happy if I can working with you.
As your project description I now also working with ImageJ for nonlinear system as theory with some experiment related with convection and chemical reactions.
Thanks & regards