In situ Image Processing and Data Binning Strategy for Particle Engineering Applications

Abstract

Crystallization control can be improved through real-time monitoring technologies. Here, a workflow is demonstrated on rapid batch cooling crystallization of L-glutamic acid. First, in situ images were generated using video microscopy sensors and analyzed, by employing a single, rapid macro code to extract particle data descriptors. A binning procedure (over time) was performed, where every data point represented the counts of particles within a specific size or shape range per 100 images. This binning method was found more informative in tracking of the populations compared to whole image averages or individual particle datapoints. This study provides a step-by-step guide towards improving mechanistic modeling, control via feedback, automation, and continuous manufacturing for Industry 4.0.

Real-Time Monitoring of Continuous Pharmaceutical Mixed Suspension Mixed Product Removal Crystallization Using Image Analysis

“…In order to apply image analysis for accurate process monitoring, novel approaches were developed to extract quantitative information from the captured images. Complex algorithms were reported with which the pictures taken with PVM probes could provide information about the particle size. ,,,, El Arnaout et al presented a novel immersed image analysis probe and applied it for the monitoring of batch crystallizations. , An invasive image analysis method was developed by Lu et al, which was applied for in-line morphology identification and agglomeration segmentation during the cooling batch crystallization of l -glutamic acid . 2D/3D imaging devices and algorithms were developed for various types of crystal products for improved crystal size and shape analysis. − Hou et al applied two external cameras during the batch crystallization of l -glutamic acid to obtain 3D CSD .…”

“…9,20,26,31,32 El Arnaout et al presented a novel immersed image analysis probe and applied it for the monitoring of batch crystallizations. 33,34 An invasive image analysis method was developed by Lu et al, which was applied for in-line morphology identification and agglomeration segmentation during the cooling batch crystallization of L-glutamic acid. 35 2D/3D imaging devices and algorithms were developed for various types of crystal products for improved crystal size and shape analysis.…”