Microstructure Imaging & Image-Based Simulation

DigiM Awarded FDA Contract

Read the Press Release

Changing the World with Microstructure Science


Introduction to DigiM

Cloud-Based Image to Simulation Solution

Microstructure Imaging & Image-Based Simulation

Encounter DigiM

News

  • DigiM Awarded FDA Contract to Study Microstructure Bioequivalence of Polymer-based Long-acting Drugs (in collaboration with the Diane Burgess Laboratory at UConn). Read the press release. News Medical press release available here.

Events

Pharmaceutical
  • Global Drug Bioavailability Enhancement Summit – New York, NY – January 28-29
  • Long-Acting Injectables & Implantables Conference – La Jolla, CA – February 6-7
  • Parenteral Drug Association – Raleigh, NC – March 30-April 1
  • AAPS Northeast Regional Discussion Group – Farmington, CT - April 16
Natural Resources
  • AAPG – Houston, TX – June 7-10
  • URTeC – Austin, TX – July 20-22
  • Microscopy and Microanalysis 2020 - Milwaukee, Wisconsin - August 2-6
  • SCA – Austin, TX – September 21-24

Recent Presentations and Publications

  • Zhang, S., Goldman, J., Chen, X., Rowe, J., Lin, S., Zhou, L. (2020). Non-Invasive, Quantitative Characterization of Lyophilized Drug Product Using Three-Dimensional X-Ray Microscopy Analytics. Drug Development & Delivery.Read full paper here.
  • Howard, J. (2019). Machine-Learning Methods in Image Processing and Analysis of Porous Materials. DigiM whitepaper. Available for request.
  • Zhou, L., Stroud, P., Zhu, A., Hinds, J., Blakely, K., Zhang, S. (2019). Characterization of Spray-Dried Aggregates for Tablet Formulation with Microstructure 3D Imaging Analytics. Poster presented at AAPS PharmSci 360 2019 in San Antonio, Texas. With Eli Lilly. Request poster.
  • Zhu, L., Yin, D., Qin, Y., Konda, S., Zhang, S., Zhu, A., . . . Lin, H. (2019). Sorption‐Enhanced Mixed Matrix Membranes with Facilitated Hydrogen Transport for Hydrogen Purification and CO2 Capture. Advanced Functional Materials.Read abstract. Request manuscript.
  • Howard, J., Lin, S., & Zhang, S. (2019). Uncertainty Quantification in Image Segmentation for Image-Based Rock Physics in a Shaly Sandstone. Petrophysics,60(2), 240-254. Read abstract. Request the manuscript.