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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 research. However, analyzing large and increasingly…
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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 Atlas, an integral part of the Swedish-based Human…
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Multicolor Microscopy: The Importance of Multiplexing
The term multiplexing refers to the use of multiple fluorescent dyes to examine various elements within a sample. Multiplexing allows related components and processes to be observed in parallel,…
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A New Method for Convenient and Efficient Multicolor Imaging
The technique combining hyperspectral unmixing and phasor analysis was developed to simplify the process of getting images from a sample labeled with multiple fluorophores. This aggregate method…
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Considerations for Multiplex Live Cell Imaging
Simultaneous multicolor imaging for successful experiments: Live-cell imaging experiments are key to understand dynamic processes. They allow us to visually record cells in their living state, without…
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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.
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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…
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Imaging of Anti-Cancer Drug Uptake in Spheroids using DLS
Spheroid 3D cell culture models mimic the physiology and functions of living tissues making them a useful tool to study tumor morphology and screen anti-cancer drugs. The drug AZD2014 is a recognized…
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Observing Complex Cellular Interactions at Multiple Scales
Learn how to observe challenging cellular interactions with easy to deploy object detection and relationship measurements.