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

Research output: Non-textual formDigital or Visual Products

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 languageEnglish
Place of PublicationAmsterdam
Media of outputOnline
Size7MB
DOIs
Publication statusE-pub ahead of print - 15 Jan 2020

Fingerprint

Capsules
Machine Learning

Keywords

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

Cite this

@misc{6df79e63d3924c46b5210d881732fbc1,
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 = "1",
day = "15",
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 - 2020/1/15

Y1 - 2020/1/15

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

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