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deconvolution

American  
[dee-kahn-vuh-loo-shuhn] / ˌdiˌkɑn vəˈlu ʃən /

noun

  • deconvolutions
    plural
  1. the process of clarifying or separating scientific data using mathematical algorithms to remove blur, distortion, or overlapping effects in an image or signal.


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Like with the explicit deconvolution methods, the results are higher-resolution or better-quality images.

From Science Daily Nov. 19, 2024

The two main strategies are explicit deconvolution and deep learning-based deconvolution.

From Science Daily Nov. 19, 2024

That makes deconvolution easier and should enable DSA to construct images in real time.

From Science Magazine Mar. 31, 2023

Troshin, K. & Hartwig, J. F. Snap deconvolution: an informatics approach to high-throughput discovery of catalytic reactions.

From Nature Apr. 22, 2018

Simultaneous denoising, deconvolution, and demixing of calcium imaging data.

From Nature Jan. 30, 2018

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