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

Frederik J.S. Doerr; Alastair J. Florence

doi:10.1016/j.ijpx.2020.100041

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

Frederik J.S. Doerr, Alastair J. Florence

Research output: Non-textual form › Digital or Visual Products

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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).

Original language	English
Place of Publication	Amsterdam
Media of output	Online
Size	7MB
DOIs	https://doi.org/10.1016/j.ijpx.2020.100041
Publication status	Published - 1 Dec 2020

Keywords

pharmaceutical formulation development
watershed image sementation
crystallisation
XRT particle structure analysis
machine learning
micro-XRT

Access to Document

10.1016/j.ijpx.2020.100041Licence: CC BY 4.0

Doerr-Florence-IJPX-2020-image-analysis-and-machine-learning-methodology-for-the-characterisation-of-multi-particulate-capsule-videoFinal published version, 6.92 MBLicence: CC BY 4.0

Cite this

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

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).",

keywords = "pharmaceutical formulation development, watershed image sementation, crystallisation, XRT particle structure analysis, machine learning, micro-XRT",

author = "Doerr, {Frederik J.S.} and Florence, {Alastair J.}",

year = "2020",

month = dec,

day = "1",

doi = "10.1016/j.ijpx.2020.100041",

language = "English",

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T1 - A micro-XRT image analysis and machine learning methodology for the characterisation of multi- particulate capsule formulations [Video Abstract]

AU - Doerr, Frederik J.S.

AU - Florence, Alastair J.

PY - 2020/12/1

Y1 - 2020/12/1

N2 - 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).

AB - 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).

KW - pharmaceutical formulation development

KW - watershed image sementation

KW - crystallisation

KW - XRT particle structure analysis

KW - machine learning

KW - micro-XRT

UR - https://strathprints.strath.ac.uk/70996/

U2 - 10.1016/j.ijpx.2020.100041

DO - 10.1016/j.ijpx.2020.100041

M3 - Digital or Visual Products

CY - Amsterdam

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Future Continuous Manufacturing and Advanced Crystallisation Research Hub (CMAC Hub)

Doctoral Training Centre In Continuous Manufacturing And Crystallisation

Data for: "A micro-XRT Image Analysis and Machine Learning Methodology for the Characterisation of Multi-Particulate Capsule Formulations"

Nanofocused X-ray tomography and image processing for quantitative analysis of pharmaceutical particulate solid products

XRT: Extraction of quantitative structural descriptors from solid pharmaceutical products

Cite this

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Future Continuous Manufacturing and Advanced Crystallisation Research Hub (CMAC Hub)

Doctoral Training Centre In Continuous Manufacturing And Crystallisation

Datasets

Data for: "A micro-XRT Image Analysis and Machine Learning Methodology for the Characterisation of Multi-Particulate Capsule Formulations"

Research output

Nanofocused X-ray tomography and image processing for quantitative analysis of pharmaceutical particulate solid products

XRT: Extraction of quantitative structural descriptors from solid pharmaceutical products

Cite this