Abstract: Hyperspectral image (HSI) deconvolution is a challenging illposed inverse problem, made difficult by the data’s high dimensionality. We propose a parameter-parsimonious framework based on a ...

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Zhongyao Ma, PhD, holds a bachelor’s degree in biology from Shanghai Jiao Tong University and a PhD in genetics and developmental biology from the University of Georgia, U.S. His research focused on ...

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With the onset of large-scale astronomical surveys capturing millions of images, there is an increasing need to develop fast and accurate deconvolution algorithms that generalize well to different ...

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Traceback (most recent call last): File "Codes/Deconvolution/DestVI_pipeline.py", line 52, in <module> scvi.data.setup_anndata(sc_adata, layer="counts", labels_key ...

Deconvolution reverses the convolution process, enhancing image intensity estimates. It acts as an upsampling procedure, preserving connectivity patterns in feature maps. Deconvolution layers employ ...

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 ...