Comparison of Three Commercially Available DIGE Analysis Software Packages: Minimal User Intervention in Gel-Based Proteomics

2009 ◽  
Vol 8 (2) ◽  
pp. 1077-1084 ◽  
Author(s):  
Yunyi Kang ◽  
Tanasit Techanukul ◽  
Anthanasios Mantalaris ◽  
Judit M. Nagy
Keyword(s):  
Analysis Software ◽  
Software Packages ◽  
User Intervention ◽  
Minimal User Intervention ◽  
Dige Analysis

Extracting Objects with Adaptive Segmentation Techniques: Going Beyond Intensity Thresholding

1998 ◽  
Vol 4 (S2) ◽  
pp. 64-65
Author(s):  
Peter Eggleston
Keyword(s):  
Selection Process ◽  
Image Data ◽  
Adaptive Segmentation ◽  
Intensity Analysis ◽  
Automated Systems ◽  
Threshold Selection ◽  
Analysis Software ◽  
Image Analysis Software ◽  
Software Packages ◽  
User Intervention

In designing automated systems for interpretation of micrographs, it is often the goal to separate and discern various objects within the image data. After segmentation, measurements of the objects, called features, can then be calculated and used for process or statistical analysis. Simple segmentation schemes based on single threshold operations, often lack the sophistication to deal with intricate or subtle details of the image data, or require user intervention in the threshold selection process. This talk will present and discuss advanced techniques which adapt to the data, and which can operate autonomously without human supervision.Segmentation is a process which transforms pixel based image data into symbolic descriptors representing groups of pixel elements. These descriptors are called objects and take the form of lines, regions, polygons, points, windows of interests, or other unique representations. Most laboratory image analysis software packages utilize segmentation schemes based on the principle of intensity analysis.

3DBVSMAPPER: a program for automatically generating bond-valence sum landscapes

2012 ◽  
Vol 45 (5) ◽  
pp. 1054-1056 ◽  
Author(s):  
Matthew Sale ◽  
Maxim Avdeev
Keyword(s):  
Computer Program ◽  
Three Dimensional ◽  
Bond Valence ◽  
Spatial Distributions ◽  
Energy Landscapes ◽  
Bond Valence Sum ◽  
Scripting Language ◽  
Materials Studio ◽  
User Intervention ◽  
Minimal User Intervention

A computer program,3DBVSMAPPER, was developed to generate bond-valence sum maps and bond-valence energy landscapes with minimal user intervention. The program is designed to calculate the spatial distributions of bond-valence values on three-dimensional grids, and to identify infinitely connected isosurfaces in these spatial distributions for a given bond-valence mismatch or energy threshold and extract their volume and surface area characteristics. It is implemented in the Perl scripting language embedded in AccelrysMaterials Studioand has the capacity to process automatically an unlimited number of materials using crystallographic information files as input.

A smartphone fluorescence imaging-based mobile biosensing system integrated with a passive fluidic control cartridge for minimal user intervention and high accuracy

Lab on a Chip ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1502-1511 ◽  
Author(s):  
Won-Il Lee ◽  
Younghyeon Park ◽  
Jaemin Park ◽  
Sajal Shrivastava ◽  
Young-Min Son ◽  
...  
Keyword(s):  
Fluorescence Imaging ◽  
High Accuracy ◽  
Fluidic Control ◽  
Biosensing System ◽  
User Intervention ◽  
Minimal User Intervention

A biosensor with minimal user interventions and high accuracy.

scholarly journals ROSAT Observations of Symbiotic Stars

1993 ◽  
Vol 155 ◽  
pp. 405-405
Author(s):  
K.F. Bickert ◽  
R.E. Stencel ◽  
R. Luthardt
Keyword(s):  
Sliding Window ◽  
Analysis Software ◽  
Standard Analysis ◽  
X Ray ◽  
Software Packages ◽  
Corrected Image ◽  
Optical Position ◽  
Sky Survey ◽  
Event Files ◽  
Photon Event

The German X-ray astronomy satellite ROSAT (launched 1990 June 1) performed an all-sky survey (from 1990 Jul 30 till 1991 Jan 26) with the Position Sensitive Proportional Counter (2 deg FoV, .1–2.4 keV) covering 96% of the sky. Analysis of bright X-ray sources suggests PSPC positions can be accurately determined to within 30 arcsec, and 1‥2 arcmin for soft weak ones. We have examined the survey data for detections from among a list of 189 symbiotic and symbiotic-like objects compiled by Vaidis (1988) with own extensions, chosen for completeness. For 178 objects, all-sky data was available. Standard Analysis Software System (SASS) and EXtended Standard Analysis Software packages (EXSAS) both use a three-step approach to detect sources. After quality screening, a sliding-window algorithm (LD) locates bright sources. These are excluded in the 2D-spline interpolated smoothed background map. A second sliding window MD runs on the background subtracted event files. All possible sources were then tested by maximum likelihood in the background-subtracted, exposure-corrected image. If LD, MD, or ML did not detected a source at the optical position, an upper limit ML program tried to find enhanced emission. For EXSAS, photon event files contain all photons within 20 arcmin radius around a source. Cut radii, background determination, and other parameters can be iteratively improved.

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