Scienze della vita
Scienze della vita
Questo è il posto giusto per ampliare le vostre conoscenze, le capacità di ricerca e le applicazioni pratiche della microscopia in vari campi scientifici. Imparate come ottenere una visualizzazione precisa, l'interpretazione delle immagini e i progressi della ricerca. Troverete informazioni approfondite sulla microscopia avanzata, sulle tecniche di imaging, sulla preparazione dei campioni e sull'analisi delle immagini. Gli argomenti trattati comprendono la biologia cellulare, le neuroscienze e la ricerca sul cancro, con particolare attenzione alle applicazioni e alle innovazioni più avanzate.
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…
Hyperplex Cancer Tissue Analysis at Single Cell Level with Cell DIVE
The ability to study how lymphoma cell heterogeneity is influenced by the cells’ response to their microenvironment, especially at the mutational, transcriptomic, and protein levels. Protein…
Simplifying the Cancer Biology Image Analysis Workflow
As cancer biology data sets grow, so do the challenges in microscopy image analysis. Aivia experts cover how to overcome these challenges with AI.
Examining Critical Developmental Events in High-Definition
Extended live cell imaging of embryo development requires a delicate balance between light exposure, temporal resolution and spatial resolution to maintain cells’ viability. Compromises between the…
Observing Complex Cellular Interactions at Multiple Scales
Learn how to observe challenging cellular interactions with easy to deploy object detection and relationship measurements.
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.
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…
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…
Learning the Cellular Architecture from its Optical Properties
In the last 3 years, microscopists have started to use "AI based" solutions for a wide range of applications, including image acquisition optimization (smart microscopy), object classification, image…
