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.
Image of fixed U2OS cell expressing mEmerald-Tomm20 denoised using a 3D RCAN model trained with matching low and high SNR image pairs acquired on an iSIM system.

AI Microscopy Image Analysis – An Introduction

Artificial intelligence-guided microscopy image analysis and visualization is a powerful tool for data-driven scientific discovery. AI can help researchers tackle challenging imaging applications,…
Dual color volume rendering of Drp1 oligomers (green) and mito OM (red) in a live U2OS cell

Multicolor 4D Super Resolution Light Sheet Microscopy

The AI Microscopy Symposium offers a unique forum for discussing the latest AI-based technologies and tools in the field of microscopy and biomedical imaging. In this scientific presentation, Yuxuan…
Single timepoint of a time-lapse recording of mammary epithelial micro spheroid cultured in 3D highlighting individual mitotic events

Observing Complex Cellular Interactions at Multiple Scales

Learn how to observe challenging cellular interactions with easy to deploy object detection and relationship measurements.
Spontaneous colon adenoma

Intravital Microscopy of Cancer

Join our guest speaker Prof Dr Jacco van Rheenen, as he presents his work on the identity, behavior and fate of cells that drive the initiation and progression of cancer.
Aivia_Neuroscience-VBE comparison mouse-1_traced_ROI

Accelerating Neuron Image Analysis with Automation

The ability to examine complex neural processes relies on the accurate reconstruction of neuronal networks at scale. Most data extraction methods in neuroscience research are time-consuming and…
Separation of cells based on their tracking status: A colourised binary mask of a time-lapse microscopy field of view of medium confluency with individual cells highlighted as survivors if they can be tracked since the initial movie frame (cyan), incomers if they migrated into the field of view throughout the movie (yellow) or mistracks if an error occurred in the automated trajectory reconstruction (red).

Tracking Single Cells Using Deep Learning

AI-based solutions continue to gain ground in the field of microscopy. From automated object classification to virtual staining, machine and deep learning technologies are powering scientific…

Designing your Research Study with Multiplexed IF Imaging

Multiplexed tissue analysis is a powerful technique that allows comparisons of cell-type locations and cell-type interactions within a single fixed tissue sample. It is common for researchers to ask…

High-resolution 3D Imaging to Investigate Tissue Ageing

Award-winning researcher Dr. Anjali Kusumbe demonstrates age-related changes in vascular microenvironments through single-cell resolution 3D imaging of young and aged organs.

Optimizing THUNDER Platform for High-Content Slide Scanning

With rising demand for full-tissue imaging and the need for FL signal quantitation in diverse biological specimens, the limits on HC imaging technology are tested, while user trainability and…
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