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。
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…

AI-Powered Multiplexed Image Analysis to Explore Colon Adenocarcinoma

In this application note, we demonstrate a spatial biology workflow via an AI-powered multiplexed image analysis-based exploration of the tumor immune microenvironment in colon adenocarcinoma.

Laser Microdissection Protocols for Tissue and Cell Isolation - Download free eBook

In this Bio-protocol Selections, we present a collection of open-access, detailed methods papers using LCM to purify and isolate tissues and cells from plants, mouse embryos, cancer cells, neurons,…

A Meta-cancer Analysis of the Tumor Spatial Microenvironment

Learn how clustering analysis of Cell DIVE datasets in Aivia can be used to understand tissue-specific and pan-cancer mechanisms of cancer progression
Multiplexed Cell DIVE imaging of Colon Adenocarcinoma (CAC) tissue. A panel of approximately 30 biomarkers targeted towards various leukocyte lineages, epithelial, stromal, and endothelial cell types was utilized to characterize the tumor immune microenvironment in human colon adenocarcinoma (CAC) tissue.

Mapping the Landscape of Colorectal Adenocarcinoma with Imaging and AI

Discover deep insights in colon adenocarcinoma and other immuno-oncology realms through the potent combination of multiplexed imaging of Cell DIVE and Aivia AI-based image analysis
Clustering based analysis reveals various immune cell populations enriched in tumor cells within CT26.WT syngeneic mouse tumor models.

Spatial Architecture of Tumor and Immune Cells in Tumor Tissues

Dig deep into the spatial biology of cancer progression and mouse immune-oncology in this poster, and learn how tumor metabolism can effect immune cell function.
Pancreatic Ductal Adenocarcinoma with 11 Aerobic Glycolysis/Warburg Effect biomarkers shown – BCAT, Glut1, HK2, HTR2B, LDHA, NaKATPase, PCAD, PCK26, PKM2, SMA1, and Vimentin.

IBEX, Cell DIVE, and RNA-Seq: A Multi-omics Approach to Follicular Lymphoma

In a recent study by Radtke et al., a multi-omics spatial biology approach helps shed light on early relapsing lymphoma patients
40x magnification of organoids cluster taken on Mateo TL.Cell type: esophageal squamous carcinoma; scale  bar 15µm. Courtesy of bioGenous, China.

Overcoming Observational Challenges in Organoid 3D Cell Culture

Learn how to overcome challenges in observing organoid growth. Read this article and discover new solutions for real-time monitoring which do not disturb the 3D structure of the organoids over time.
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.
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