Abstract: Many popular deconvolution methods based on Robinson's convolutional model have played an important role in improving the temporal resolution of seismic data. However, the outcomes of ...

Isotope labeling is a fundamental technique in chemistry and biochemistry for investigating molecular structures, reaction mechanisms, and metabolic pathways. The accurate determination of isotope ...

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Abstract: Neural network frameworks today commonly implement Deconvolution and closely related Convolution operator via a combination of GEMM (dense matrix-matrix multiplication) and a memory ...

Jolideco is a Python package for Joint Likelihood Deconvolution of astronomical images affected by Poisson noise. It allows you to deblur and denoise images and do a joint image reconstruction of ...

Derrie Thickett is a freelance List Writer for GameRant. Derrie's love for video games started when he received a copy of The Elder Scrolls: Morrowind as a Christmas gift. He can usually be found in ...

Tissues are constituted of heterogeneous cell types. Although single-cell RNA sequencing has paved the way to a deeper understanding of organismal cellular composition, the high cost and technical ...

Electron tomography is used to reveal the structure of cells in three dimensions (3D). The combination with cryogenic fixation provides a snapshot in time of the living state. However, cryotomography ...

The growing use of intact protein mass analysis, top-down proteomics, and native mass spectrometry have created a need for improved data analysis pipelines for deconvolution of electrospray (ESI) mass ...

Reveal the hidden structures in your sample using cellSens imaging software, which includes a wide range of powerful deconvolution tools. Real-time deconvolution can be applied to live images using ...