[HTML][HTML] Applications of machine vision in pharmaceutical technology: A review

DL Galata, LA Meszaros, N Kallai-Szabo… - European Journal of …, 2021 - Elsevier
The goal of this paper is to give an introduction to analysis of images acquired by a digital
camera with visible illumination and to review its applications as a Process Analytical …

Crystal measurement technologies for crystallization processes: Advances, applications, and challenges

F Zhang, W Li, B Shan, Y Wang, Z Zhu, Y Huo, Q Xu - Measurement, 2024 - Elsevier
Crystal measurement, especially on-line measurement, in industrial crystallization is always
a challenging topic in the past years, which is crucial to precisely understand crystal …

Characterizing variability in lignocellulosic biomass: a review

J Yan, O Oyedeji, JH Leal, BS Donohoe… - ACS Sustainable …, 2020 - ACS Publications
Feedstock variability is a significant barrier to the scale-up and commercialization of
lignocellulosic biofuel technologies. Variability in feedstock characteristics and behavior …

Fluidized bed drying of blackberry wastes: Drying kinetics, particle characterization and nutritional value of the obtained granular solids

A Sozzi, M Zambon, G Mazza, D Salvatori - Powder Technology, 2021 - Elsevier
Particulate systems for functional ingredient development were obtained by fluidized bed
drying of blackberry wastes. Fluidization behavior, drying characteristics, and …

In Situ Imaging Combined with Deep Learning for Crystallization Process Monitoring: Application to Cephalexin Production

H Salami, MA McDonald, AS Bommarius… - … process research & …, 2021 - ACS Publications
The online detection of a trace amount of an undesired solid phase within a crystal slurry
can enable feedback control to improve product purity, decrease batch rejection, and …

Deep-learning based in-situ micrograph analysis of high-density crystallization slurry using image and data enhancement strategy

M Li, J Liu, T Yao, Z Gao, J Gong - Powder Technology, 2024 - Elsevier
Process analytical technology (PAT) plays a crucial role in optimizing crystalline powder
product qualities, improving process stability, and reducing experimental costs by enabling …

Use of automation, dynamic image analysis, and process analytical technologies to enable data rich particle engineering efforts at the Drug Substance/Drug Product …

S Agrawal, SH Rawal, VR Reddy, JM Merritt - … Engineering Research and …, 2024 - Elsevier
Automation plays a vital role in reducing development time in the pharmaceutical industry,
both for drug substance (DS) and drug product (DP). Many aspects of crystallization …

Harnessing Birefringence for Real-Time Classification of Molecular Crystals Using Dynamic Polarized Light Microscopy, Microfluidics, and Machine Learning

AYH Chua, EWQ Yeap, DM Walker… - Crystal Growth & …, 2024 - ACS Publications
Molecular crystals are ubiquitous in a variety of industrial contexts, from foods to chemicals
and pharmaceuticals. The timely identification of different molecular crystal forms (and …

Recent advances in in-process characterization of suspensions and slurries

DM Scott - Powder Technology, 2022 - Elsevier
A comprehensive literature review was conducted on new and emerging methods for in-
process characterization of suspensions and slurries. The 152 publications reviewed here …

Particle size distribution (PSD) estimation using unmanned aerial vehicle (UAV) photogrammetry for rockfill shear strength characterization

M Arrieta, ZX Zhang - Acta Geotechnica, 2024 - Springer
The strength of rockfills and waste materials is significantly influenced by their particle size
distribution (PSD). For large waste rockfills, PSD is fundamental to determine the shear …