ライフサイエンス

ライフサイエンス

ライフサイエンス

様々な科学分野における顕微鏡の知識、研究技術、そして実用的な応用を深めるための場です。正確な観察、画像解析、そして研究の進歩を実現する方法を学びましょう。高度な顕微鏡技術、イメージング技術、サンプル前処理、画像解析に関する専門的な知見を提供します。最先端のアプリケーションやイノベーションを中心に、細胞生物学、神経科学、がん研究などの分野を幅広くカバーしています。
Documentation of an automotive clutch friction surface with a digital microscope

Automotive Part Verification and Development according to Specifications

Automotive part verification during the development and production of parts and components by suppliers or manufacturers is important for ensuring that specifications are met. Specifications are…
Multiplexed Cell DIVE imaging to characterize the spatial landscape in Human Alzheimer’s Cortical Tissue

Probing Human Alzheimer's Cortical Section using Spatial Multiplexing

Alzheimer’s disease (AD) is the most common neurodegenerative disease and is characterized by the progressive decline of cognitive function. Spatial profiling of AD brain may reveal cellular…
Brightfield image of a pig liver stained with hematoxylin-eosin (HE).

Spatial Metabolomics: Exploring Tumor Complexity and Therapeutic Insights

In cancer research, it is vital to understand the interaction between tumor cells and their microenvironment, as the tumor microenvironment influences tumor progression significantly. Spatial…
Mosaic scan of a Masson-Goldner stained cat brain. Magnification: 20x.

Lipidomics Analysis of Sparse Cells based on Laser Microdissection

Delve into cellular intricacies with high-coverage targeted lipidomics analysis of sparse cells. This advanced method, integrating Laser Microdissection (LMD) and Liquid Chromatography-Mass…
Image of confluent cells taken with phase contrast (left) and analyzed for confluency using AI (right).

AI Confluency Analysis for Enhanced Precision in 2D Cell Culture

This article explains how efficient, precise confluency assessment of 2D cell culture can be done with artificial intelligence (AI). Assessing confluency, the percentage of surface area covered,…
AI-based cell counting performed with a phase-contrast and fluorescence image using the Mateo FL microscope.

Precision and Efficiency with AI-Enhanced Cell Counting

This article describes the use of artificial intelligence (AI) for precise and efficient cell counting. Accurate cell counting is important for research with 2D cell cultures, e.g., cellular dynamics,…
AI-based transfection analysis (left) of U2OS cells which were transfected with a fluorescently labelled protein. A fluorescence image of the cells (right) is also shown. The analysis and imaging were performed with Mateo FL.

Leveraging AI for Efficient Analysis of Cell Transfection

This article explores the pivotal role of artificial intelligence (AI) in optimizing transfection efficiency measurements within the context of 2D cell culture studies. Precise and reliable…
Cell DIVE image of stromal remodeling around B cell follicles of follicular lymphoma patients. Stromal cells labeled with antibodies against desmin (red), SPARC (orange), vimentin (blue), and a-sma (yellow). Extracellular matrix labeled with antibody against lumican (cyan). B cells labeled with antibody against CD20 (green). Image credit: Dr. Andrea Radtke, Center for Advanced Tissue Imaging, NIAID, NIH

Empowering Spatial Biology with Open Multiplexing and Cell DIVE

Spatial biology and multiplexed imaging workflows have become important in immuno-oncology research. Many researchers struggle with study efficiency, even with effective tools and protocols. Here, we…
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…
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