Applied Imaging Solutions, LLC

Purpose: This Phase Ii Project Proposes the Development of an Interpretable Ai/deep Learning System, That Together With the Hyperspectral Imaging System Detects Cell Viability, Glucose and Lactate Concentration and Antibody Glycosylation and Aggregation Using Label-free Contactless Hyperspectral Images in the Swir Spectral Range of Cell Culture Samples Containing Chinese Hamster Ovary (nistcho) Cells Grown in Fed-batch Mode in a 3L Bioreactor. Collectively, This Work Will Advance the Safe and Efficient Adoption of Contactless Ai/deep Learning Sensing Systems for Fine Control of a Variety of Bioreactor Environments.activities to Be Performed: Phase Ii Activities to Be Performed Will Consist of Research and Development for Predicting Mab Quality Attributes Such as Glycosylation, Aggregation and Deamidation for Fine Online Quality Control in Real-time.expected Outcomes: Outcomes Resulting From This Phase Ii Project Is Expected to Advance the Safe and Efficient Adoption of Contactless Ai/deep Learning Sensing Systems for Fine Control of a Variety of Bioreactor Environments.intended Beneficiaries: Advanced Biologics Manufacturers, Healthcare It Companies, and the Life Sciences Industry.subrecipient Activities: the Applicant Has Proposed to Make a Subaward to University of Maryland, College Park.