Imagequantify.Com Announces New Iqbot For Quantitative Analysis Of Histological Imaging Data: Dab Stain Analysis
Cleveland, OH (PRWEB) November 06, 2015 -- ImageQuantify.com, an online automated platform for quantitative preclinical imaging analysis and data aggregation created by ImageIQ, today announced the addition of the DAB Stain Analysis IQbot to its publicly available collection of image analysis and documentation packages. This new IQbot segments and quantifies regions of DAB (3,3'-Diaminobenzidine) in tissue histological sections counterstained with hematoxylin. “IQbots” are the engines that power the ImageQuantify.com analysis and management workflow — tool packages for common or custom preclinical imaging assays that deliver validated, comprehensive analytics that are objective, reproducible, and accessible. Within every IQbot results package researchers receive complete data (i.e., quantitative excel spreadsheets, image analysis overlays, usable file formats), individual image validation certification, and reference materials (e.g., a video walkthrough of output data, relevant references from scientific literature, methods sections, material to support GLP compliance, and a validation certificate).
Since the brown-colored DAB stain is an oxidative byproduct of a specific protein bound to an enzyme (i.e., HRP or horseradish peroxidase), it is agnostic to the structure and location of the target protein and serves only as a reporter. Therefore, this IQbot's output parameters may represent nuclear staining (if the DAB target is localized to nuclei) or regional staining (if the DAB target is extracellular and clustered). These output parameters include total area of DAB staining and counts of the distinct regions of DAB within the image. Additionally, with the aid of the counterstain, the area of tissue in the image is analyzed to enable normalization of the DAB staining content. Lastly, in addition to the quantitative metrics, a pseudo-colored image is generated for each image analyzed by the IQbot in which the segmented DAB staining is pseudo-colored green.
This IQbot will join the existing ImageQuantify.com catalog in assisting users to more effectively (in terms of the quality standard of the data) and more efficiently (in terms of cost and time-to-analysis) arrive at the imaging analytics required of their research. As with all prior offerings, the DAB Stain Analysis IQbot was developed and released following a rigorous validation process that stressed the accuracy and reproducibility of the produced data.
ImageQuantify.com software engineers are consistently building new IQbots to add to the processing catalog. To prompt prioritization of an IQbot for their own analysis needs, researchers may submit requests to enter the “IQbot Incubation Program.” Researchers submitting requests will receive a notification within 10 business days identifying whether or not their assay has been chosen for development. Such decisions rely on estimates as to the time and technical resources required to develop and validate the IQbot, as well as the relative industry need.
About ImageQuantify.com
Created by ImageIQ, ImageQuantify.com is an online quantitative image analysis service for preclinical research. Using secure cloud technology and the ease of e-commerce, ImageQuantify.com provides validated and automated image analysis software tools for common preclinical imaging assays. As a result, all preclinical researchers may now take advantage of accurate, reproducible, objective imaging analytics that are both affordable and easily accessible. ImageQuantify.com’s preclinical services are backed by the technology and experience of ImageIQ, Inc., an Imaging Contract Research Organization (ICRO) that specializes in providing image management software, image analysis capabilities, and professional services for imaging in drug and device clinical trials.
Related Links
http://www.ImageQuantify.com/bots/botdetail/4
http://www.ImageQuantify.com/UserContact
http://www.Image-IQ.com
Zach Kaufman, ImageIQ, http://www.ImageQuantify.com, +1 8554624347, [email protected]
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