Abstract A state-of-the-art, compact optomechanical setup coupled with an image analysis routine to measure multi-dimensional particle size and shape distributions ( n D PSSDs) for crystallization processes is presented. A novel image processing pipeline to process the raw images from the cameras is presented. The pipeline consists of a stereoscopic camera calibration model, adaptive background subtraction, particle contour matching, and 3D reconstruction of the segmented crystals. The reconstructed crystals are subjected to a supervised shape classification strategy, which categorizes each detected crystal into spheres, needles, quasi-equant particles, platelets and non-convex particles. Additionally, a high-speed image capture mode, capable of monitoring processes with fast kinetics, is presented. The device discussed in this work is subjected to an experimental campaign, to validate size measurements, characterize steady state, and confirm repeatability of measurements to affirm and assess the non-invasive nature of the setup on the measurement. An experiment aimed at evaluating the enhancement in the proposed image analysis pipeline performance, more specifically the automatic shape classification, is further conducted. Finally, a dissolution process is monitored using a stereoscopic imaging setup for the first time, and the size and shape evolution of the population in a growth and dissolution phase is monitored for about 18 h.

中文翻译：

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用于立体测量悬浮液中颗粒群的综合形状分析管道

摘要提出了一种最先进的紧凑型光机械装置，并结合图像分析程序来测量结晶过程的多维粒度和形状分布 (n D PSSD)。提出了一种新颖的图像处理管道来处理来自相机的原始图像。该管道由立体相机校准模型、自适应背景减法、粒子轮廓匹配和分段晶体的 3D 重建组成。重建的晶体接受有监督的形状分类策略，将每个检测到的晶体分类为球体、针状、准等离子颗粒、片状和非凸状颗粒。此外，还介绍了一种能够以快速动力学监测过程的高速图像捕获模式。在这项工作中讨论的设备经过实验活动，以验证尺寸测量，表征稳态，并确认测量的可重复性，以确认和评估测量设置的非侵入性。进一步进行了旨在评估所提出的图像分析管道性能增强的实验，更具体地说是自动形状分类。最后，首次使用立体成像装置监测溶解过程，并监测生长和溶解阶段种群的大小和形状演变约 18 小时。进一步进行旨在评估所提出的图像分析管道性能的增强，更具体地说是自动形状分类的实验。最后，首次使用立体成像装置监测溶解过程，并监测生长和溶解阶段种群的大小和形状演变约 18 小时。进一步进行了旨在评估所提出的图像分析管道性能增强的实验，更具体地说是自动形状分类。最后，首次使用立体成像装置监测溶解过程，并监测生长和溶解阶段种群的大小和形状演变约 18 小时。