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AI and deconvolution

A collection of 3 posts
Pancreatic tissue section image
AI-assisted image analysis

Of tumors and TMEs: new findings in pancreatic cancer spatial heterogeneity

Grünwald et al. make major progress towards untangling cancer heterogeneity with a recent paper in Cell.
16 Feb 2022 6 min read
More data, more problems: Perspectives on challenges in large-scale, high-complexity bioimage analysis
AI and deconvolution

More data, more problems: Perspectives on challenges in large-scale, high-complexity bioimage analysis

Advances in high-parameter imaging technologies over the past several decades created an exponential increase in the complexity of imaging datasets. In this article, we’ll cover: in situ imaging technologies, deep learning for image analysis, and unmet challenges bioimaging dataset analysis.
01 Sep 2021 9 min read
Image Deconvolution: How it works and how to use it for microscopy
microscopy

Image Deconvolution: How it works and how to use it for microscopy

An introduction to deconvolution for biologists: what it is, how it works, tools for biologists to do deconvolution, and more resources.
18 Aug 2021 7 min read
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