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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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It demonstrates high performance with significantly fewer training parameters and shorter run-time compared to the latest deep learning-based models and, of course, it also outperforms explicit deconvolution methods.

From Science Daily Nov. 19, 2024

Once they implemented sub-pixel scanning and 3D deconvolution, the researchers were able to demonstrate an effective resolution of 6 cm from the same distance away.

From Science Daily Apr. 25, 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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