Announces New IQbot for Quantitative Image Analysis of Sox2 Expression and Cell-to-Vessel Proximity

Share Article creates online tools for automated preclinical image analysis, data aggregation, and documentation within its web platform. This release is of interest to basic, discovery, and preclinical research professionals and executives currently conducting or planning studies targeted at determining spatial relationships between vessel edges and cells that are positive and/or negative for a specific marker (e.g., Sox2)., an online automated platform for quantitative preclinical image analysis and data aggregation created by ImageIQ, today announced the addition of the Sox2 Vessel Proximity Analysis IQbot to its publicly available collection of automated image analysis and documentation research tools. This new IQbot quantifies the relative distances or proximity of Sox2-positive and Sox2-negative cells relative to vessels in fluorescently-stained tissue cross-sections. “IQbots” are the engines that power the analysis and management workflow — tools for common or custom preclinical research imaging assays that deliver validated, comprehensive data that is completely objective, reproducible, and accessible online. Within every IQbot results package researchers receive complete data (i.e., quantitative excel spreadsheets, image analysis overlays, usable file formats) and reference materials (e.g., methods and materials information, a video walkthrough of output data, relevant scientific literature references, material supportive of GLP compliance, and an algorithm validation certificate).

The Sox2 Vessel Proximity Analysis IQbot calculates the shortest distance of each Sox2-positive and Sox2-negative cell from a vessel border labeled with either antibodies for smooth muscle cell actin (SMA) or von Willebrand Factor. The distances are measured from the centroid of each cell's nucleus labeled with DAPI (4',6-diamidino-2-phenylindole) to the closest segmented vessel edge pixel. Relative distances or proximity of Sox2-positive and Sox2-negative cells, the SRY (sex determining region Y)-box 2 transcription factor (a stem cell marker), to vessels can provide a method for defining metastatic potential for tumors. IQbot outputs include the distance of each and every cell (positive or negative) within a given image to the closest vessel, along with the mean intensity of Sox2 labeling within that particular cell's nucleus. Additionally, the IQbot will generate a series of pseudo-colored overlay images enabling quick QA of the analysis outputs, as well as for use in publications or regulatory submissions. For further detailed information, watch this 9-minute video on SOX2 Vessel Proximity Analysis.

This IQbot will join the existing catalog to assist researchers in more effectively (e.g., better and broader data) and more efficiently (e.g., improved cost and time-to-analysis) generating imaging data for their research. As with all prior offerings, the Sox2 Vessel Proximity Analysis IQbot was developed and released following a rigorous testing and validation process stressing the accuracy and reproducibility of the output data. software engineers are consistently building new IQbots to add to the processing catalog. To prompt prioritization of an IQbot for their image 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. This decision relies on estimates regarding the time and technical resources required to develop, test, and validate the IQbot, as well as the IQbot’s potential impact on the overall scientific community.

Created by ImageIQ, is an online quantitative image analysis self-serve research tool for basic, discovery, and preclinical research. Using secure cloud technology and the ease of e-commerce, 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.’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 expertise, and professional services for imaging in drug and device clinical trials and preclinical research. ImageIQ is a Cleveland Clinic Innovations Company.

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Brett Hoover
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