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Image Analytical Approach for Needle-Shaped Crystal Counting and Length Estimation

机译：针状晶体计数和长度估计的图像分析方法

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摘要

Estimation of nucleation and crystal growth rates from microscopic information is of critical importance. This can be an especially challenging task if needle growth of crystals is observed. To address this challenge, an image analytical method for counting of needle-shaped crystals and estimating their length is presented. Since the current algorithm has a number of parameters that need to be optimized, a combination of simulation of needle crystal growth and Design of Experiments was applied to identify the optimal parameter settings for the algorithm. The algorithm was validated for its accuracy in different scenarios of simulated needle crystallization, and subsequently, the algorithm was applied to study the influence of additive on antisolvent crystallization. The developed algorithm is robust for quantifying heavily intersecting needle crystals in optical microscopy images, and has the potential for being applied for real-time crystallization monitoring and control.
机译：从微观信息估计成核和晶体生长速率至关重要。如果观察到晶体的针状生长，这可能是一项特别具有挑战性的任务。为了解决这一挑战，提出了一种用于计数针状晶体并估算其长度的图像分析方法。由于当前算法具有许多需要优化的参数，因此将针状晶体生长的模拟与实验设计相结合来确定算法的最佳参数设置。验证了该算法在模拟针状结晶不同场景下的准确性，随后将该算法应用于研究添加剂对反溶剂结晶的影响。所开发的算法对于在光学显微镜图像中定量相交的针状晶体具有很强的鲁棒性，并且有潜力应用于实时结晶监测和控制。

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