Ciencias de la vida

Ciencias de la vida

Ciencias de la vida

Este es el lugar para ampliar sus conocimientos, capacidades de investigación y aplicaciones prácticas de la microscopía en diversos campos científicos. Aprenda a conseguir una visualización precisa, interpretación de imágenes y avances en la investigación. Encuentre información detallada sobre microscopía avanzada, técnicas de obtención de imágenes, preparación de muestras y análisis de imágenes. Los temas tratados incluyen la biología celular, la neurociencia y la investigación del cáncer, con especial atención a las aplicaciones e innovaciones de vanguardia.

History, Developments and Trends of Microscopy in Cancer Research

Cancer is a global disease, with 18 million new cases diagnosed and 10 million cancer-related deaths worldwide in 2020. This burden is set to increase, with a projected increase in cases of ~55% by…

Researchers Insights: Microscopy in Cancer Research

Discover how imaging techniques are driving cancer research forward. In this issue, we present comprehensive multimodal studies using microscopy, as well as new directions in intraoperative cancer…
Brain organoid labeled with lamin (green) and tubulin (magenta), acquired using Viventis Deep. Courtesy of Akanksha Jain, Treutlein Lab ETH-DBSSE Basel (Switzerland).

Faster & Deeper Insights into Organoid and Spheroid Models

Gain deeper, more translatable, insights into organoid and spheroid models for drug discovery and disease research by overcoming key imaging challenges. In this eBook, explore advanced microscopy…
Pancreatic Ductal Adenocarcinoma with 11 Apoptosis biomarkers shown – BAK, BAX, BCL2, BCLXL, Caspase9, CIAP1, NaKATPase, PCK26, SMAC, Vimentin, and XIAP.

Transforming Research with Spatial Proteomics Workflows

Spatial Proteomics, Nature Methods 2024 Method of the Year, is driving research advancements in cancer, immunology, and beyond. By combining positional data with high throughput imaging of proteins in…
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,…
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