SelectScience
Join Free
Accelerating Science
ResourceLab Automation

Tumor-immune landscape exploration using AI

Leica Microsystems USA
22 May 2024

Cancer tissues are complex in organization. Beyond the tumor itself, the tumor microenvironment is often composed of many tissue and cell types, each with potential significance for cancer progression. Spatial biology approaches that allow the researcher to visualize and position many biomarkers in their organismal context offer an efficient way to dig deep into hard questions in cancer biology. Leica Microsystems presents a spatial biology workflow to dive into a colon adenocarcinoma tissue using Cell DIVE to visualize and Aivia software to study the cells within the tumor microenvironment.

Related products

Request Quote for All Products

Aivia AI Microscopy Image Analysis Software

Leica Microsystems Europe

Access the future of AI microscopy. Using state-of-the-art, AI-first software architecture, Aivia is a uniquely innovative and complete 2-to-5D image visualization, analysis and interpretation platform designed for the reliable processing and reconstruction of highly complex images in just minutes. Aivia provides powerful 2D & 3D spatial relational analysis for objects across diverse types, morphological complexities, and hierarchical structures.

(0)

Links

Leica Microsystems USACompany website

Tags

Sample ManagementSample management systems include sample storage devices such as freezers and plate storers, sample environment enclosures and sample organization, retrieval and sorter systems. Useful system features include high-throughput, automation, robotic arms, automated liquid handling and associated database systems. Accessories in sample management include barcode scanners, heat sealers and tubes.Automation Supplies / AccessoriesAutomated accessories and consumables make lab processes fast, efficient and reliable. Useful automation accessories include microplate sealers, label printers and reagent reservoirs.Artificial Intelligence / Machine LearningArtificial intelligence (AI) and machine learning (ML) are transformative technologies used to analyze complex data, identify patterns, and make data-driven predictions across diverse scientific fields. Automate the analysis of large or complex data sets using AI algorithms and leverage machine learning models to improve diagnostics, accelerate drug discovery, and refine experimental design. Discover the best AI/ML software, platforms, and analytical tools in our peer-reviewed product directory: compare features, read customer reviews, and request pricing directly from manufacturers.TumorsTumor research focuses on understanding abnormal cell growth that leads to cancer. Identifying biomarkers, studying tumor microenvironments, and developing targeted therapies are critical for advancing cancer treatment. Early detection and personalized treatment options are key to improving outcomes for patients. Browse our peer-reviewed product directory to explore tools for tumor research, diagnostics, and cancer therapies; compare products, read customer reviews, and get pricing directly from manufacturers.Cancer ResearchAlthough cancer is often referred to as a single condition, it actually consists of more than 100 different diseases. Microscopy, mass spectrometry, high throughput sequencing and flow cytometry are some of the most common techniques employed in cancer research labs.

Related resources

Tumor-immune landscape exploration using AI