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AI-Enabled Spatial Analysis of Complex 3D Datasets
Coming next on MicaCam - Livestream on 15th June 2022
Jun 03, 2022Webinar - Loading...
Fast, High Acuity Imaging and AI-assisted Analysis
The use of state-of-the-art AI systems is pushing image analysis into a new generation. Challenges like the conflict between imaging power and sample…
Jun 01, 2022Whitepaper - Loading...
Create New Options for Live Cell Imaging
The use of state-of-the-art AI systems is pushing image analysis into a new generation. Challenges like the conflict between imaging power and sample…
Apr 08, 2022Whitepaper - Loading...
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…
Mar 24, 2022Webinar - Loading...
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…
Jan 20, 2022Webinar - Loading...
Accurately analyze fluorescent widefield images
The specificity of fluorescence microscopy allows researchers to accurately observe and analyze biological processes and structures quickly and…
Jan 17, 2022Whitepaper - Loading...
The AI-powered pixel classifier
Achieving reproducible results manually requires expertise and is tedious work. But now there is a way to overcome these challenges by speeding up…
Jan 10, 2022Story - Loading...
Using Machine Learning in Microscopy Image Analysis
Recent exciting advances in microscopy technologies have led to exponential growth in quality and quantity of image data captured in biomedical…
Jan 10, 2022Story - Loading...
Applying AI and Machine Learning in Microscopy and Image Analysis
Prof. Emma Lundberg is a professor in cell biology proteomics at KTH Royal Institute of Technology, Sweden. She is also the director of the Cell…
Jan 10, 2022Interview - Loading...
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.
Jan 05, 2022Webinar - Loading...
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…
Jan 03, 2022Webinar - Loading...
Observing Complex Cellular Interactions at Multiple Scales
Learn how to observe challenging cellular interactions with easy to deploy object detection and relationship measurements.
Dec 10, 2021Webinar - Loading...
Mapping 4D cell models with VR
Plant researchers Takumi Higaki and Hidenobu Mizuno have developed a framework to map leaf pavement cells in 4D using AI software with VR equipment.
Dec 08, 2021Abstract - Loading...
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…
Nov 17, 2021Webinar - Loading...
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…
Nov 11, 2021Webinar - Loading...
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…
Nov 11, 2021Webinar - Loading...
AI in Microscopy Webinar
We demonstrate residual channel attention networks for restoring and enhancing volumetric time-lapse (4D) fluorescence microscopy data.
May 11, 2021Webinar