Science Lab

Science Lab

Science Lab

ライカマイクロシステムズのナレッジポータルでは、顕微鏡の基礎から最先端技術まで、幅広い情報を提供しています。初心者から熟練者、研究者、医師の皆様まで、日々の研究や実験に役立つ内容となっております。チュートリアルやアプリケーションノートを活用し、学びながら探究心を刺激してください。さらに、コミュニティに参加することで、知見を共有し、新たな発見へとつなげましょう。お気軽に参加いただき、互いの専門知識を深め合う場としてご活用ください。
AI-based inspection detects, classifies, and measures defects directly in microscope images of components.

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…
Overview of Artificial Intelligence (AI) and Machine Learning

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…
Why the Future of Microscopic Inspection Is AI-Assisted, Not Fully Automated

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…
Optical microscope image, which is a composition of both brightfield and fluorescence illumination, showing organic contamination on a wafer surface. The inset images in the upper left corner show the brightfield image (above) and fluorescence image (below with dark background).

Visualizing Photoresist Residue and Organic Contamination on Wafers

As the scale of integrated circuits (ICs) on semiconductors passes below 10 nm, efficient detection of organic contamination, like photoresist residue, and defects during wafer inspection is becoming…
Automated wafer loader using carbon fiber end-effectors for safer handling.

Safe Wafer Loading for Microscope Inspection without Hand Contact

How automated silicon wafer loading for microscope inspection helps improve microelectronics process control and production efficiency is explained in this article. Manual handling of wafers has a…
Image of burrs (red arrows) at the edge of a battery electrode acquired with a DVM6 digital microscope.

Burr Detection During Battery Manufacturing

See how optical microscopy can be used for burr detection on battery electrodes and determination of damage potential to achieve rapid and reliable quality control during battery manufacturing.
Quality assurance during production in a manufacturing plant.

Quality Assurance Improvement Across Industries

Precision is paramount. Imagine a pacemaker that fails mid-operation or a semiconductor flaw that causes a critical system crash. In industries, such as medical devices, electronics, and…
Image of a Siemens star, where the diameter of the 1st black line circle is 10 mm and the 2nd is 20 mm, taken via an eyepiece of a M205 A stereo microscope. The rectangles represent the field of view (FOV) of a Leica digital camera when installed with various C-mounts (red 0.32x, blue 0.5x, green 0.63x).

Understanding Clearly the Magnification of Microscopy

To help users better understand the magnification of microscopy and how to determine the useful range of magnification values for digital microscopes, this article provides helpful guidelines.
Electronic component

Top Challenges for Visual Inspection

This article discusses the challenges encountered when performing visual inspection and rework using a microscope. Using the right type of microscope and optical setup is paramount in order to…
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