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AI-Based Particle Counting with the Aivaro AI Feature Detection Software Module
The Aivaro AI Feature Detection software module enables fast manual microscope inspection of particulate contamination on various material samples. By training different classes, reflective particles,…
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AI Image Analysis for Reliable Defect Detection
AI-based visual inspection with microscopy helps make quality control in industrial environments efficient by reducing manual inspection effort concerning defect detection, classification, and…
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An Overview of Artificial Intelligence (AI) and Machine Learning
AI is rapidly changing industrial inspection, quality control, and manufacturing workflows. But not all AI technologies work the same way. From machine learning and deep learning to the newer concept…
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Why the Future of Microscopic Inspection Is AI-Assisted, Not Fully Automated
The next wave of QC productivity gains will not come from building more automated inspection lines. Instead, it will come from augmenting millions of inspection decisions that are made manually every…
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跨行业的质量保证改进
精确是最重要的。试想一下,心脏起搏器在运行过程中发生故障,或者半导体缺陷导致关键系统崩溃。在医疗设备、电子产品和半导体等行业,误差几乎为零。质量保证(QA)不再仅仅是一项监管要求,而是一项推动业务成功和保护品牌完整性的战略优势。
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选择临床显微镜需考虑的因素
显微镜是病理学家工作流程中不可或缺的一部分。特别是在组织病理学、血液病理学或医学微生物学中,病理学家使用显微镜来高效、可靠地进行诊断。因此,他们经常长时间低头看目镜,可能会因为工作姿势而感到身体不适。
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诊断时间在临床病理学检查中至关重要
病理学家使用显微镜检查样本以发现组织和体液中存在的异常。他们的检查发现或推论对治疗决策有非常大的影响。Penelope Zorzi博士拥有免疫学、病理学和基因组学专业背景,是徕卡显微系统健康与临床显微镜术产品工作流经理。她了解病理学家的工作职责并介绍了医生、科学家和病理学实验室化验员的工作。