IN VIVO ANALYTICS, INC. — Department of Health and Human Services SBIR Phase II: NIBIB
IN VIVO ANALYTICS, INC. — SBIR Phase II award from Department of Health and Human Services.
- Amount
- $1,491,417
- Agency
- Department of Health and Human Services · National Institutes of Health
- Program / Phase
- SBIR · Phase II
- Topic
- NIBIB
- Solicitation
- PA14-071
- NAICS
- —
- Place of performance
- NY
- Period
- 2015-09-17 → 2018-07-31
Description
DESCRIPTION provided by applicant Bacterial infections impose a costly health burden worldwide which is compounded by the alarming increase of multi drug resistant bacteria Hence there is an urgent unmet need for developing new antibiotics with higher efficacy Bioluminescence imaging BLI is a tool for non invasively studying bacterial infections in small animal models aiding the development of new therapies BLI faces however several limitations regarding data quantification and reproducibility liabilities in translational research It cannot systematically quantify in vivo bacterial organ burden across the cohort and longitudinally Furthermore BLI analysis is still highly operator dependent resulting in poor data analysis reproducibility and high variability Therefore InVivo Analytics proposes to develop InVivoPLOT It is a hardware add on for BLI systems that is seamlessly integrated to a cloud based D reconstruction and automated data analysis software InVivoPLOT permits for autonomous quantification of spatial bacterial burden across the cohort longitudinally In Phase InVivo Analytics developed a novel Body Conforming Animal Mold BCAM an optical calibrator and an Organ Probability Map OPM and measured quantitatively the in vivo bacterial density distribution of a urinary tract infection UTI model Phase II will expand on those accomplishments by developing the automated BLI analysis software which will eliminate operator dependent variability and error increase reproducibility and permit quantification of BLI studies A client applet will up load BLI data to the andquot cloudandquot and D images of the bioluminescent bacteria distribution will be computed along with quality metrics automatically co registered to an OPM and the D image data sets will be digitally analyzed while enabling andquot Digital Organ Harvestingandquot The standardizing BCAM allows for automated cluster analysis to objectively separate blinded datasets into quantitatively correlated cohorts both spatially and temporally A comprehensive unbiased study report is sent back to the investigator Phase will demonstrate the feasibility of InVivoPLOTandapos s analysis software and hardware for providing quantitative imaging data with high reproducibility across different animals and time points In Aim the BCAM and OPM will be expanded to different mouse size sex and strains In Aim a set of different mathematical analysis tools on a cloud based architecture will provide a rapid and operator independent data analysis In Aim the analysis tools BCAMs and OPMs will be tested on a UTI model The successful completion of the proposed project will help to commercialize InVivoPLOT and will find immediate application in the pharmaceutical industry for rapid development of novel antibiotics It will provide a tool for in vivo quantification of bioluminescent targets operator independent data analysis and online knowledge base of directly comparable data using a consistent format while increasing reproducibility to improve and accelerate disease interventions The long term goal is to extend the unitandapos s utility to a number of other fields needing to quantify bioluminescent targets such as in neurobiology oncology and stem cell research PUBLIC HEALTH RELEVANCE In this Phase II SBIR InVivo Analytics seeks funding for the development of InVivoPLOT to monitor animal models of infection in real time Despite its prevalence bacterial infections particularly of the urinary tract are a significant burden on th health care system because of the lack of new antibiotics being developed InVivo Analytics will develop a new imaging tool and analysis software which can automatically quantify bacterial infection in the living animal thereby allowing accurate development of novel antibiotics