DigiM Solution - Materials characterization with microstructure image analysis
Time 2021-11-24 19:54:22Web Name: DigiM Solution - Materials characterization with microstructure image analysis
WebSite: http://www.digimsolution.com
ID:248815
Keywords:
Materials,characterization,DigiM,Solution,image,analysis,with,microstructure,Description:
keywords: description:Through imaging, AI analytics, and predictive simulation, we lend an unprecedented understanding for materials development and properties on the microscale. Skip to contentMicrostructure Imaging Analytics
HomeTechnologyImaging ReimaginedDigiM I2S SoftwareServicesImaging FIB-SEMX-ray Micro-CTMosaic Field of View SEMImaging Expertise AI Image AnalyticsPhysical Properties ModelingIndustriesPharmaceuticals Formulation DevelopmentQ3 Microstructure BioequivalenceDrug Performance AssessmentProcess and Manufacturing DevelopmentLong-Acting Implants and InjectablesCase Studies Natural ResourcesMaterials ScienceAboutTeamNewsVideo LibraryPublicationsContactMontreal, Canada July 11th to July 15th
Exhibit Booth #111Microscopy Microanalysis (MM) 2022 Annual Meeting
Portland, Oregon July 31st to August 4th
American Association of Pharmaceutical Scientists (AAPS) 2022 Annual Meeting and Exposition
Boston, Massachusetts October 15th to October 18th Recent Presentations and Publications Recent Presentations and PublicationsS. Zhang, J. Lomeo. Cloud-based image management solutions for digital transformation of drug product development, Microscopy Microanalysis 27 (S1) (2021) 296-297. DOI. S. Horava, J. Lomeo, M. Shen, R. Ayyar, K. Eddy, S. Zhang, M. Swinney. Evaluating API Release Performance from Controlled Release Polymer Matrices with Microstructure Imaging and Image-based Prediction Models, Talk presented at CRS 2021 Virtual Annual Meeting, 2021 Jul 25-29; Virtual. Eli Lilly talk featuring DigiM’s analysis.I. Terzic, M. Staal, A. Doornbos, I. Kok, K. Staal, J. Visscher, A. Funhoff, T. Nguyen, W. Vos, P. V. Midwoud, R. Steendam. Next generation bioresorbable contraceptive implants, Talk presented at CRS 2021 Virtual Annual Meeting, 2021 Jul 25-29; Virtual. Innocore talk featuring DigiM’s analysis.M. Shen, Y. Wang, S. Zhang, B. Qin, Q. Bao, D. Burgess. Characterization of the Stability of PLGA Microspheres Using Image-based Key Performance Attributes and Release Prediction, Poster presented at CRS 2021 Virtual Annual Meeting, 2021 Jul 25-29; Virtual.K. Nagapudi, A. Zhu, D. Chang, J. Lomeo, K. Rajagopal, R. Hannoush, S. Zhang. Microstructure, quality, and release performance characterization of long-acting polymer implant formulations with X-ray microscopy and quantitative AI analytics, Journal of Pharmaceutical Sciences. (2021). DOI. With Genentech.Xi, H., Zhu, A., Klinzing, G.R., Zhou, L., Zhang, S., Gmitter, A.J., Ploeger, K., Sundararajan, P., Mahjour, M., Xi, W. (2020). Characterization of Spray Dried Particles Through Microstructural Imaging. Journal of Pharmaceutical Sciences.August 2020. With Merck. More details here.Wu, D., Zhou, L., Zhang, S. (2020). Characterization of Controlled Release Microspheres Using FIB-SEM and Image-Based Release Prediction. AAPS PharmSciTech. July 2020. With Bausch Health. Zhang, S., Nagapudi, K. (2020). Micro-imaging Based Characterization and Release Prediction of a Long-Acting PLGA Implant. Poster presented at the Long-Acting Injectables and Implantables meeting in La Jolla, CA. With Genentech. 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.Howard, J. (2019). Machine-Learning Methods in Image Processing and Analysis of Porous Materials. DigiM whitepaper. 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 2019 AAPS PharmSci 360 in San Antonio, Texas. With Eli Lilly. 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. 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.
Meet us at 2021 AAPS PharmSci 360!
Check out our presentations at the 2021 AAPS PharmSci 360 conference! We will also be there physically in Philadelphia, PA, drop by at exhibit booth #209 to discuss your microstructural challenges.
View our 2021 CRS Annual Meeting presentations!
At the 2021 CRS Annual Meeting, we are proud to present our work using high-resolution 3D imaging, AI analytics, and image-based simulations. In collaboration with our clients, we demonstrated how image analysis can assess the impact of microstructures on the performance of long-acting implants and injectables. Learn more here.
Learn about Digital Drug Formulation and Design from our rapid fire talk presented at the 2021 AAPS-NERDG Annual Meeting.
At AAPS-NERDG 2021 Annual Meeting, DigiM gave a rapid fire presentation titled: Digital drug formulation and design: critical insights from microstructure imaging. Read and watch about it here.
In collaboration with the FDA, DigiMs work on lyophilized solids presented at the 2021 IFPAC Annual Meeting.
DigiM participated in several presentations at IFPAC 2021 Annual Meeting in collaboration with the FDA to evaluate container closure system effects on lyophilized products. Click here to learn more.
At the 2021 AIChE Annual meeting, DigiM showcased imaging characterization of drug products and its impact on drug design and performance.
In the AIChE 2021 Annual Meeting, DigiM talked about how digital images, when quantified and analyzed with AI machine learning algorithms, can help understand the process, performance, and formulation design of drugs. Learn about our work here.
Check out DigiMs presentations at 2020 AAPS PharmSci 360!
DigiM gave several talks and posters covering our AI image analytics and simulation to quantify and characterize drug products of all kinds at the AAPS PharmSci 360 event. Read more about our work here.
Learn about DigiMs solutions for controlled released drug products at the 2020 CRS Annual Meeting.
At the CRS 2020 Annual meeting, DigiM presented our latest drug release simulations for PLGA microspheres, long-acting implants and more. Click here to learn more.
DigiM Receives FDA Contract to Study Microstructure Bioequivalence.
DigiM Awarded FDA Contract to Study Microstructure Bioequivalence of Polymer-based Long-acting Drugs (in collaboration with Dr. Diane Burgess Laboratory at UConn). Read the press release here. Medical News press release available here.
At the FDA regulatory science workshop, DigiM was invited to present our image characterization techniques!
DigiM’s Quantitative Image Characterization Featured in FDA regulatory science workshop on microstructure bioequivalence. Watch the presentation and read the press release here. AZO Materials press release available here.
Controlled Release Society (CRS) 2022 Annual Meeting Expo
Montreal, Canada July 11th to July 15th
Exhibit Booth #111
Microscopy Microanalysis (MM) 2022 Annual Meeting
Portland, Oregon July 31st to August 4th
American Association of Pharmaceutical Scientists (AAPS) 2022 Annual Meeting and Exposition
Boston, Massachusetts October 15th to October 18th
S. Zhang, J. Lomeo. Cloud-based image management solutions for digital transformation of drug product development, Microscopy Microanalysis 27 (S1) (2021) 296-297. DOI.
S. Horava, J. Lomeo, M. Shen, R. Ayyar, K. Eddy, S. Zhang, M. Swinney. Evaluating API Release Performance from Controlled Release Polymer Matrices with Microstructure Imaging and Image-based Prediction Models, Talk presented at CRS 2021 Virtual Annual Meeting, 2021 Jul 25-29; Virtual. Eli Lilly talk featuring DigiM’s analysis.
I. Terzic, M. Staal, A. Doornbos, I. Kok, K. Staal, J. Visscher, A. Funhoff, T. Nguyen, W. Vos, P. V. Midwoud, R. Steendam. Next generation bioresorbable contraceptive implants, Talk presented at CRS 2021 Virtual Annual Meeting, 2021 Jul 25-29; Virtual. Innocore talk featuring DigiM’s analysis.
M. Shen, Y. Wang, S. Zhang, B. Qin, Q. Bao, D. Burgess. Characterization of the Stability of PLGA Microspheres Using Image-based Key Performance Attributes and Release Prediction, Poster presented at CRS 2021 Virtual Annual Meeting, 2021 Jul 25-29; Virtual.
K. Nagapudi, A. Zhu, D. Chang, J. Lomeo, K. Rajagopal, R. Hannoush, S. Zhang. Microstructure, quality, and release performance characterization of long-acting polymer implant formulations with X-ray microscopy and quantitative AI analytics, Journal of Pharmaceutical Sciences. (2021). DOI. With Genentech.
Xi, H., Zhu, A., Klinzing, G.R., Zhou, L., Zhang, S., Gmitter, A.J., Ploeger, K., Sundararajan, P., Mahjour, M., Xi, W. (2020). Characterization of Spray Dried Particles Through Microstructural Imaging. Journal of Pharmaceutical Sciences.August 2020. With Merck. More details here.
Wu, D., Zhou, L., Zhang, S. (2020). Characterization of Controlled Release Microspheres Using FIB-SEM and Image-Based Release Prediction. AAPS PharmSciTech. July 2020. With Bausch Health.
Zhang, S., Nagapudi, K. (2020). Micro-imaging Based Characterization and Release Prediction of a Long-Acting PLGA Implant. Poster presented at the Long-Acting Injectables and Implantables meeting in La Jolla, CA. With Genentech.
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.
Howard, J. (2019). Machine-Learning Methods in Image Processing and Analysis of Porous Materials. DigiM whitepaper.
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 2019 AAPS PharmSci 360 in San Antonio, Texas. With Eli Lilly.
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.
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.
TAGS:Materials characterization DigiM Solution image analysis with microstructure
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