DOE SBIR Phase IIB: Interactive Visualization of Multi-Terabyte Datasets on Commodity Hardware. 2022. Cultured cells have long been used to study cellular response to drug treatments as surrogates to how cells would respond in living organisms. Traditionally, 2D cell cultures have been used for these assays, but 3D cultures (e.g., organoids) are rapidly growing as a better analog to the cellular environment in our own bodies. Read more.

NSF SBIR Phase II: Machine Learning for Rapid Automated Viral Infectivity Assays. 2022. After successfully proving that AI can work on Plaque Assays as part of the initial special Covid-19 grant, phase I.  ViQi now received the Phase II grant for 1 million dollars. Development of viral vaccines and antiviral drugs requires viral infectivity assays, however, the incubation periods of plaque and TCID50 assays can be as long as 14 days…. Read More.

NSF SBIR Phase I: Machine Learning for Early Detection of COVID-19 Plaques in Cells. 2020. The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to accelerate the development of vaccines and anti-virals with artificial intelligence (AI) techniques. This project will develop technology to detect changes in virus-infected cells days or weeks before they can be detected manually. Read more.

DOE SBIR Phase II: Interactive Visualization of Multi-Terabyte Datasets on Commodity Hardware. 2019. In Phase I of the project, a scalable, web-based viewer and query system for large scientific images and tabular data was developed. In Phase II, novel query and analysis mechanisms are added to extract insights from large, diverse collections of scientific datasets. Read more.

DOE SBIR Phase I: Interactive Visualization of Multi-Terabyte Datasets on Commodity Hardware. 2018. Researchers are entering a new era in scientific discovery enabled by Big Data and E-Science. A growing, but largely untapped resource, is large-scale image analytics. To-date, images were only viewed, but advanced analytics now allow scientists to extract quantitative data from images. Read more.

Radiomics in the evaluation of lung nodules: Intrapatient concordance between full-dose and ultra-low-dose chest computed tomography. 2021.

Computational analysis of morphological and molecular features in gastric cancer tissues. 2020.

Machine learning classification of OARSI-scored human articular cartilage using magnetic resonance imaging. 2015.

Computational image analysis of colony and nuclear morphology to evaluate human induced pluripotent stem cells. 2014.

Impressionism, expressionism, surrealism: Automated recognition of painters and schools of art. 2010.

Early detection of radiographic knee osteoarthritis using computer-aided analysis. 2009.