Article ID Journal Published Year Pages File Type
144430 Advanced Powder Technology 2012 8 Pages PDF
Abstract

A new automated static optical image analysis (SOIA) method was developed for characterising the shape of sodium oxalate crystals by separately measuring their length and width. The automated size analysis combines crystal image acquisitioning with a custom-developed numerical algorithm for morphological analysis of crystals. The automation of the two main measuring steps enables characterisation of a large number of crystals ensuring statistically meaningful results. As part of the numerical algorithm, a rectangularity-based morphological filter was implemented to eliminate overlapping crystals and crystal networks. The developed optical sizing technique has a low detection limit of 0.25 μm, which is close to the theoretical resolution of optical microscopy. It is demonstrated that the new automated SOIA sizing technique is very sensitive in identifying oxalate crystals of different shape. The measured crystal size distributions are compared to those obtained by an AccuSizer sizing instrument to confirm that they are consistent with the measurements obtained by a conventional crystal sizing instrument.

Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► Crystal length and width were measured for different types of oxalate crystals. ► The critical number of crystals for statistical reproducibility was assessed. ► Rectangularity based non-dimensional morphological filters were developed. ► Optical image particle sizes agree well with AccuSizer measurements.

Related Topics
Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)
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