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采用计算机视觉技术对连续冷冻干燥产品进行自动颗粒检测。

Automated particle inspection of continuously freeze-dried products using computer vision.

机构信息

Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, 9000 Gent, Belgium.

Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653 B-9000 Gent, Belgium.

出版信息

Int J Pharm. 2024 Oct 25;664:124629. doi: 10.1016/j.ijpharm.2024.124629. Epub 2024 Aug 23.

DOI:10.1016/j.ijpharm.2024.124629
PMID:39181173
Abstract

The pharmaceutical industry is progressing towards more continuous manufacturing techniques. To dry biopharmaceuticals, continuous freeze drying has several advantages on manufacturing and process analytical control compared to batch freeze-drying, including better visual inspection potential. Visual inspection of every freeze-dried product is a key quality assessment after the lyophilization process to ensure that freeze-dried products are free from foreign particles and defects. This quality assessment is labor-intensive for operators who need to assess thousands of samples for an extensive amount of time leading to certain drawbacks. Applying Artificial Intelligence, specifically computer vision, on high-resolution images from every freeze-dried product can quantitatively and qualitatively outperform human visual inspection. For this study, continuously freeze-dried samples were prepared based on a real-world pharmaceutical product using manually induced particles of different sizes and subsequently imaged using a tailor-made setup to develop an image dataset (with particle sizes from 50μm to 1 mm) used to train multiple object detection models. You Only Look Once version 7 (YOLOv7) outperforms human inspection by a large margin, obtaining particle detection precision of up to 88.9% while controlling the recall at 81.2%, thus detecting most of the object present in the images, with an inference time of less than 1 s per vial.

摘要

制药行业正在朝着更连续的制造技术发展。与批式冷冻干燥相比,连续冷冻干燥在制造和过程分析控制方面具有几个优势,包括更好的目视检查潜力。对每个冷冻干燥产品进行目视检查是冷冻干燥过程后的关键质量评估,以确保冷冻干燥产品中没有外来颗粒和缺陷。对于操作人员来说,这项质量评估非常耗费精力,他们需要在很长一段时间内评估数千个样本,这导致了一些缺点。在高分辨率图像上应用人工智能,特别是计算机视觉,可以在定量和定性方面优于人工目视检查。在这项研究中,使用一种定制的设备,对基于真实制药产品的连续冷冻干燥样品进行成像,该设备可以人工引入不同大小的颗粒。随后,使用该设备对颗粒进行成像,以开发一个图像数据集(颗粒尺寸从 50μm 到 1mm),用于训练多个目标检测模型。You Only Look Once 版本 7(YOLOv7)的表现远远优于人工检查,其颗粒检测精度高达 88.9%,同时将召回率控制在 81.2%,从而可以检测到图像中存在的大多数物体,每个小瓶的推断时间不到 1 秒。

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