The detectability size threshold of visible particles (″visibility″ size) in the context of visual inspection of parenteral drug products has been an elusive target for several decades. The current common sense, also reflected in official guidelines, dictates that particles of different shapes and morphologies have different ″visibility″ size thresholds, that can range between hundreds and thousands of micrometers. This study demonstrates experimentally for the first time that it is possible to define a single, shape- and morphology- independent detectability size threshold, identical across particles of various types, provided that observation conditions and product attributes are kept constant. We propose that, based on the physiology of human visual perception, instead of single-dimension measures of particle size (e.g. diameter or length), such a single size-threshold requires the use of area-based size parameters (such as ″equivalent circular diameter″, or ECD. The experimental results reported here clearly demonstrate that the ″visibility″ thresholds for particles of various morphologies converge on a single ECD value. In addition, the data reported here show that product attributes, such as container configuration, fill volume etc. influence the threshold of visibility. Collectively, the findings reported in this paper provide substantial evidence and scientific rationale, as well as unanticipated prospects for standardization of visual inspection qualification practices, ultimately leading to improving pharmaceutical product quality.
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http://dx.doi.org/10.5731/pdajpst.2024.012994 | DOI Listing |
To achieve carbon neutrality, solar photovoltaic (PV) in China has undergone enormous development over the past few years. PV datasets with high accuracy and fine temporal span are crucial to assess the corresponding carbon reductions. In this study, we employed the random forest classifier to extract PV installations throughout China in 2015 and 2020 using Landsat-8 imagery in Google Earth Engine.
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December 2024
School of Agriculture and Bioengineering, Heze University, Heze 274500, China. Electronic address:
Herin, the successful synthesis of a bis Schiff base (L) has been achieved using 2-hydroxy-1-naphthaldehyde and 1,3-diaminoguanidine as raw materials, which was further characterized by infrared spectroscopy, mass spectrometry, and nuclear magnetic resonance hydrogen spectrum. Moreover, spectroscopic experiments demonstrated that the probe L showed good selectivity and visual detectability for Al. Its detection limit (DL) is 2.
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December 2024
College of Electrical Engineering, Anhui Polytechnic University, Wuhu, 241000, Anhui, China.
The quantity of cable conductors is a crucial parameter in cable manufacturing, and accurately detecting the number of conductors can effectively promote the digital transformation of the cable manufacturing industry. Challenges such as high density, adhesion, and knife mark interference in cable conductor images make intelligent detection of conductor quantity particularly difficult. To address these challenges, this study proposes the YOLO-cable model, which is an improvement made upon the YOLOv10 model.
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December 2024
ETH Zurich, Zurich, Switzerland.
Artificial intelligence (AI) provides considerable opportunities to assist human work. However, one crucial challenge of human-AI collaboration is that many AI algorithms operate in a black-box manner where the way how the AI makes predictions remains opaque. This makes it difficult for humans to validate a prediction made by AI against their own domain knowledge.
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December 2024
School of Construction Machinery, Shandong Jiaotong University, Jinan, 250023, China.
Injection molded parts are increasingly utilized across various industries due to their cost-effectiveness, lightweight nature, and durability. However, traditional defect detection methods for these parts often rely on manual visual inspection, which is inefficient, expensive, and prone to errors. To enhance the accuracy of defect detection in injection molded parts, a new method called MRB-YOLO, based on the YOLOv8 model, has been proposed.
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