Real-time chemical process monitoring, analysis, and control have become increasingly
important to multi-phase flow process research and development and attracted overt …

At a time of rising raw material and energy prices, as well as growing awareness of the
green transition approach, sustainability is becoming an increasingly important issue in the …

Recent developments in deep learning have brought huge breakthroughs in the image
processing area, which triggered numerous successful applications and positively impacted …

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 …

In this work, a combination of a Convolutional Neural Network (CNN) based measurement
sensor and a reinforcement learning (RL) framework that speeds up the control loop is …

Image analysis enables the estimation of critical process properties such as crystal size,
morphology, and crystallization kinetics. Despite the rich image information, the lack of a …

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 …

We proposed a deep learning-based in situ microscopic image analysis system for detecting
particles and performing size analysis in a high-density slurry, which shows great potential …

Abstract Process Analytical Technology (PAT) has revolutionized pharmaceutical
manufacturing by providing real-time monitoring and control capabilities throughout the …

Since preparative chromatography is a sustainability challenge due to large amounts of
consumables used in downstream processing of biomolecules, protein crystallization offers …