Quantifying cell-type proportions and their corresponding gene expression profiles in tissue samples would enhance understanding of the contributions of individual cell types to the physiological ...

Three-dimensional (3D) datasets were recorded of gold nanoparticles placed on both sides of silicon nitride membranes using focal series aberration-corrected scanning transmission electron microscopy ...

This is a set of sample source code of analyses performed in the following paper. "Novel AI-based approach for cell type deconvolution in Visium datasets when reference scRNA-seqs include multiple ...

Abstract: Seismic deconvolution is an effective approach to improve the resolution of seismic data and plays an important role in migration imaging, reservoir prediction and other fields. However, ...

Deconvolution is a computational technique of increasing the resolution and SNR (signal to noise ratio) of images captured on an imaging system. Its use existed before the extensive use of confocal ...

Current C++ examples are mainly CNN related for image classification. None of them includes the deconvolution and/or upsampling processes which are used frequently in semantic segmentation etc. There ...