Improved Differential Dynamic Microscopy (DDM) tool for characterization of soft matter
Description
Goals: Develop AI/ML based tool that can improve processability of images and derive the outcome
Detailed example
DDM is an optical microscopy method that can use high speed imaging with data analysis to analyze soft active media (e.g.- colloidal particles, polymers, biological samples etc.)
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Importance: DDM is well-suited for soft matter research in space because- 1. It only needs regular microscopy system 2. Can be extremely modular and can be fitted in form factor as small as cube sat Challenges: The present methodology for DDM analysis require long time (~20- 30 minutes) for processing images & decomposition of signal is a challenge
Controls / human review
ATO: Not reported; PIA: Not published