A micro-XRT image analysis and machine learning methodology for the characterisation of multi- particulate capsule formulations [Video Abstract]

Doerr, Frederik J.S. and Florence, Alastair J. (2020) A micro-XRT image analysis and machine learning methodology for the characterisation of multi- particulate capsule formulations [Video Abstract]. Elsevier, Amsterdam.

[thumbnail of Doerr-Florence-IJPX-2020-image-analysis-and-machine-learning-methodology-for-the-characterisation-of-multi-particulate-capsule-video] Video (Doerr-Florence-IJPX-2020-image-analysis-and-machine-learning-methodology-for-the-characterisation-of-multi-particulate-capsule-video)
Doerr_Florence_IJPX_2020_image_analysis_and_machine_learning_methodology_for_the_characterisation_of_multi_particulate_capsule_video.mp4
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    Abstract

    Video abstract highlighting aspects of a micro-XRT image analysis and machine learning methodology for the characterisation of multi-particulate capsule formulations (https://doi.org/10.1016/j.ijpx.2020.100041).

    ORCID iDs

    Doerr, Frederik J.S. ORCID logoORCID: https://orcid.org/0000-0001-5245-0503 and Florence, Alastair J. ORCID logoORCID: https://orcid.org/0000-0002-9706-8364;
    CORE (COnnecting REpositories)