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SBIR PHASE I - TOPIC 426 - TOOLS AND TECHNOLOGIES FOR VISUALIZING MULTI-SCALE DATA

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 75N91021C00045
Agency Tracking Number: 75N91021C00045
Amount: $399,955.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 426
Solicitation Number: PHS2021-1
Timeline
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
2657 MONROEVILLE BOULEVARD
MONROEVILLE, PA 15146-2301
United States
DUNS: 078362963
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 DAMIR SUDAR
 (510) 282-0358
 dsudar@qitissue.com
Business Contact
 MICHEL NEDERLOF
Phone: (412) 389-2083
Email: mnederlof@qitissue.com
Research Institution
N/A
Abstract

The Swift project will create an integrated interactive visualization software system for visual analysis of highly multiplex microscopy images of complex cancer samples from nanoscale molecular and architectural features up to single cell and tissue scales. To avoid spatial crowding on 2D displays and taking advantage of the human mind's cognitive coherence, a fully web-enabled Augmented Reality (AR) and Virtual Reality (VR) visualization layer will show 3D displays of linked quantitative image features and other spatially-linked data over the image plane. Extending from the team's commercial QiTissue software package this project will focus on highly multiplex imaging including cyclic immunofluorescence, imaging mass spectrometry, and DNA-PAINT-based multispectral super resolution microscopy, all requiring innovative multi-channel rendering software devices. Next phase development will include multiuser collaboration in AR/VR space, integration of spatially-resolved genomics and proteomics, and gaming-inspired expert guidance and interaction. Collaborating with the HTAN center at OHSU and elsewhere, the team will have access to data at all relevant scales from NCI-relevant cancer specimens and world class cancer researchers and computational biologists to evaluate our products. The system is expected to broadly meet visualization needs in cancer atlases and clinical research workflows. A strong commercial partner has been identified to ensure wide distribution.

* Information listed above is at the time of submission. *

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