wavelet signal denoiser toolbox Search Results


wavelet denoising  (MathWorks Inc)
96
MathWorks Inc wavelet denoising
Wavelet Denoising, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/wavelet denoising/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
wavelet denoising - by Bioz Stars, 2026-05
96/100 stars
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signal processing toolboxtm package  (MathWorks Inc)
98
MathWorks Inc signal processing toolboxtm package
Signal Processing Toolboxtm Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/signal processing toolboxtm package/product/MathWorks Inc
Average 98 stars, based on 1 article reviews
signal processing toolboxtm package - by Bioz Stars, 2026-05
98/100 stars
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denoist  (Spatial Transcriptomics Inc)
86
Spatial Transcriptomics Inc denoist
a) Shown here is a region of the healthy lung sample assayed using Xenium, with the boundary expansion segmentation from 10x Xenium Ranger (Top) and Proseg (Bottom) segmentation. Each dot is a transcript molecule, molecules of lineage marker genes are coloured by their respective lineages. Black lines are segmentation boundaries. b) Log CPM (counts per million) normalised pseudobulked gene expression of 4 selected contaminating genes using 4 annotated immune cell types in the lung fibrosis Xenium data. Each data point is a sample and a lowess curve is fitted over all the samples. c) A high level schematic of the application of <t>DenoIST.</t>
Denoist, supplied by Spatial Transcriptomics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/denoist/product/Spatial Transcriptomics Inc
Average 86 stars, based on 1 article reviews
denoist - by Bioz Stars, 2026-05
86/100 stars
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denoising the denoisers  (Comeau Technique)
90
Comeau Technique denoising the denoisers
a) Shown here is a region of the healthy lung sample assayed using Xenium, with the boundary expansion segmentation from 10x Xenium Ranger (Top) and Proseg (Bottom) segmentation. Each dot is a transcript molecule, molecules of lineage marker genes are coloured by their respective lineages. Black lines are segmentation boundaries. b) Log CPM (counts per million) normalised pseudobulked gene expression of 4 selected contaminating genes using 4 annotated immune cell types in the lung fibrosis Xenium data. Each data point is a sample and a lowess curve is fitted over all the samples. c) A high level schematic of the application of <t>DenoIST.</t>
Denoising The Denoisers, supplied by Comeau Technique, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/denoising the denoisers/product/Comeau Technique
Average 90 stars, based on 1 article reviews
denoising the denoisers - by Bioz Stars, 2026-05
90/100 stars
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denoisers  (Comeau Technique)
90
Comeau Technique denoisers
a) Shown here is a region of the healthy lung sample assayed using Xenium, with the boundary expansion segmentation from 10x Xenium Ranger (Top) and Proseg (Bottom) segmentation. Each dot is a transcript molecule, molecules of lineage marker genes are coloured by their respective lineages. Black lines are segmentation boundaries. b) Log CPM (counts per million) normalised pseudobulked gene expression of 4 selected contaminating genes using 4 annotated immune cell types in the lung fibrosis Xenium data. Each data point is a sample and a lowess curve is fitted over all the samples. c) A high level schematic of the application of <t>DenoIST.</t>
Denoisers, supplied by Comeau Technique, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/denoisers/product/Comeau Technique
Average 90 stars, based on 1 article reviews
denoisers - by Bioz Stars, 2026-05
90/100 stars
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nanopore amplicon data  (Oxford Nanopore)
90
Oxford Nanopore nanopore amplicon data
a) Shown here is a region of the healthy lung sample assayed using Xenium, with the boundary expansion segmentation from 10x Xenium Ranger (Top) and Proseg (Bottom) segmentation. Each dot is a transcript molecule, molecules of lineage marker genes are coloured by their respective lineages. Black lines are segmentation boundaries. b) Log CPM (counts per million) normalised pseudobulked gene expression of 4 selected contaminating genes using 4 annotated immune cell types in the lung fibrosis Xenium data. Each data point is a sample and a lowess curve is fitted over all the samples. c) A high level schematic of the application of <t>DenoIST.</t>
Nanopore Amplicon Data, supplied by Oxford Nanopore, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/nanopore amplicon data/product/Oxford Nanopore
Average 90 stars, based on 1 article reviews
nanopore amplicon data - by Bioz Stars, 2026-05
90/100 stars
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adaptive differentiable grids for cryo-electron tomography reconstruction and denoising  (KAUST Core Labs)
90
KAUST Core Labs adaptive differentiable grids for cryo-electron tomography reconstruction and denoising
a) Shown here is a region of the healthy lung sample assayed using Xenium, with the boundary expansion segmentation from 10x Xenium Ranger (Top) and Proseg (Bottom) segmentation. Each dot is a transcript molecule, molecules of lineage marker genes are coloured by their respective lineages. Black lines are segmentation boundaries. b) Log CPM (counts per million) normalised pseudobulked gene expression of 4 selected contaminating genes using 4 annotated immune cell types in the lung fibrosis Xenium data. Each data point is a sample and a lowess curve is fitted over all the samples. c) A high level schematic of the application of <t>DenoIST.</t>
Adaptive Differentiable Grids For Cryo Electron Tomography Reconstruction And Denoising, supplied by KAUST Core Labs, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/adaptive differentiable grids for cryo-electron tomography reconstruction and denoising/product/KAUST Core Labs
Average 90 stars, based on 1 article reviews
adaptive differentiable grids for cryo-electron tomography reconstruction and denoising - by Bioz Stars, 2026-05
90/100 stars
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denoising transformer  (JetNet Corporation)
90
JetNet Corporation denoising transformer
a) Shown here is a region of the healthy lung sample assayed using Xenium, with the boundary expansion segmentation from 10x Xenium Ranger (Top) and Proseg (Bottom) segmentation. Each dot is a transcript molecule, molecules of lineage marker genes are coloured by their respective lineages. Black lines are segmentation boundaries. b) Log CPM (counts per million) normalised pseudobulked gene expression of 4 selected contaminating genes using 4 annotated immune cell types in the lung fibrosis Xenium data. Each data point is a sample and a lowess curve is fitted over all the samples. c) A high level schematic of the application of <t>DenoIST.</t>
Denoising Transformer, supplied by JetNet Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/denoising transformer/product/JetNet Corporation
Average 90 stars, based on 1 article reviews
denoising transformer - by Bioz Stars, 2026-05
90/100 stars
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image denoising by non-subsampled shearlet domain multivariate model  (Optik GmbH)
90
Optik GmbH image denoising by non-subsampled shearlet domain multivariate model
a) Shown here is a region of the healthy lung sample assayed using Xenium, with the boundary expansion segmentation from 10x Xenium Ranger (Top) and Proseg (Bottom) segmentation. Each dot is a transcript molecule, molecules of lineage marker genes are coloured by their respective lineages. Black lines are segmentation boundaries. b) Log CPM (counts per million) normalised pseudobulked gene expression of 4 selected contaminating genes using 4 annotated immune cell types in the lung fibrosis Xenium data. Each data point is a sample and a lowess curve is fitted over all the samples. c) A high level schematic of the application of <t>DenoIST.</t>
Image Denoising By Non Subsampled Shearlet Domain Multivariate Model, supplied by Optik GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/image denoising by non-subsampled shearlet domain multivariate model/product/Optik GmbH
Average 90 stars, based on 1 article reviews
image denoising by non-subsampled shearlet domain multivariate model - by Bioz Stars, 2026-05
90/100 stars
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chimeraslayer  (SourceForge net)
90
SourceForge net chimeraslayer
a) Shown here is a region of the healthy lung sample assayed using Xenium, with the boundary expansion segmentation from 10x Xenium Ranger (Top) and Proseg (Bottom) segmentation. Each dot is a transcript molecule, molecules of lineage marker genes are coloured by their respective lineages. Black lines are segmentation boundaries. b) Log CPM (counts per million) normalised pseudobulked gene expression of 4 selected contaminating genes using 4 annotated immune cell types in the lung fibrosis Xenium data. Each data point is a sample and a lowess curve is fitted over all the samples. c) A high level schematic of the application of <t>DenoIST.</t>
Chimeraslayer, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/chimeraslayer/product/SourceForge net
Average 90 stars, based on 1 article reviews
chimeraslayer - by Bioz Stars, 2026-05
90/100 stars
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feature-based wavelet shrinkage algorithm for image denoising  (Balster Einheitserdewerk)
90
Balster Einheitserdewerk feature-based wavelet shrinkage algorithm for image denoising
a) Shown here is a region of the healthy lung sample assayed using Xenium, with the boundary expansion segmentation from 10x Xenium Ranger (Top) and Proseg (Bottom) segmentation. Each dot is a transcript molecule, molecules of lineage marker genes are coloured by their respective lineages. Black lines are segmentation boundaries. b) Log CPM (counts per million) normalised pseudobulked gene expression of 4 selected contaminating genes using 4 annotated immune cell types in the lung fibrosis Xenium data. Each data point is a sample and a lowess curve is fitted over all the samples. c) A high level schematic of the application of <t>DenoIST.</t>
Feature Based Wavelet Shrinkage Algorithm For Image Denoising, supplied by Balster Einheitserdewerk, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/feature-based wavelet shrinkage algorithm for image denoising/product/Balster Einheitserdewerk
Average 90 stars, based on 1 article reviews
feature-based wavelet shrinkage algorithm for image denoising - by Bioz Stars, 2026-05
90/100 stars
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denoising  (Siemens Healthineers)
86
Siemens Healthineers denoising
a) Shown here is a region of the healthy lung sample assayed using Xenium, with the boundary expansion segmentation from 10x Xenium Ranger (Top) and Proseg (Bottom) segmentation. Each dot is a transcript molecule, molecules of lineage marker genes are coloured by their respective lineages. Black lines are segmentation boundaries. b) Log CPM (counts per million) normalised pseudobulked gene expression of 4 selected contaminating genes using 4 annotated immune cell types in the lung fibrosis Xenium data. Each data point is a sample and a lowess curve is fitted over all the samples. c) A high level schematic of the application of <t>DenoIST.</t>
Denoising, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/denoising/product/Siemens Healthineers
Average 86 stars, based on 1 article reviews
denoising - by Bioz Stars, 2026-05
86/100 stars
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Image Search Results


a) Shown here is a region of the healthy lung sample assayed using Xenium, with the boundary expansion segmentation from 10x Xenium Ranger (Top) and Proseg (Bottom) segmentation. Each dot is a transcript molecule, molecules of lineage marker genes are coloured by their respective lineages. Black lines are segmentation boundaries. b) Log CPM (counts per million) normalised pseudobulked gene expression of 4 selected contaminating genes using 4 annotated immune cell types in the lung fibrosis Xenium data. Each data point is a sample and a lowess curve is fitted over all the samples. c) A high level schematic of the application of DenoIST.

Journal: bioRxiv

Article Title: Denoising image-based spatial transcriptomics data with DenoIST

doi: 10.1101/2025.11.13.688387

Figure Lengend Snippet: a) Shown here is a region of the healthy lung sample assayed using Xenium, with the boundary expansion segmentation from 10x Xenium Ranger (Top) and Proseg (Bottom) segmentation. Each dot is a transcript molecule, molecules of lineage marker genes are coloured by their respective lineages. Black lines are segmentation boundaries. b) Log CPM (counts per million) normalised pseudobulked gene expression of 4 selected contaminating genes using 4 annotated immune cell types in the lung fibrosis Xenium data. Each data point is a sample and a lowess curve is fitted over all the samples. c) A high level schematic of the application of DenoIST.

Article Snippet: To address this research gap, we present DenoIST (Denoising Image-based Spatial Transcriptomics), a Poisson mixture model tailored for denoising IST data by reducing the effects of transcript contamination in downstream analysis tasks.

Techniques: Marker, Gene Expression

Expression of ACTA2 from a zoomed-in section in Xenium human breast cancer dataset. Each dot is a segmented cell using 10x boundary expansion method, colour shows the log count of ACTA2 . Cells with 0 count are greyed out for visual clarity. b) Heatmap visualisation of gene expression of annotated cell types before (top) and after DenoIST (bottom). Columns are selected genes, annotated by the cell type they mark. Row are cell types. The log(mean count + 1) for each cell type is shown here. c) MECR before (top) and after (bottom) applying DenoIST to Xenium human breast cancer dataset. Rows and columns denote genes and each entry is the MECR of the corresponding pair. Note that genes that mark the same cell type are not expected to be mutually exclusive, but are shown here for positive control.

Journal: bioRxiv

Article Title: Denoising image-based spatial transcriptomics data with DenoIST

doi: 10.1101/2025.11.13.688387

Figure Lengend Snippet: Expression of ACTA2 from a zoomed-in section in Xenium human breast cancer dataset. Each dot is a segmented cell using 10x boundary expansion method, colour shows the log count of ACTA2 . Cells with 0 count are greyed out for visual clarity. b) Heatmap visualisation of gene expression of annotated cell types before (top) and after DenoIST (bottom). Columns are selected genes, annotated by the cell type they mark. Row are cell types. The log(mean count + 1) for each cell type is shown here. c) MECR before (top) and after (bottom) applying DenoIST to Xenium human breast cancer dataset. Rows and columns denote genes and each entry is the MECR of the corresponding pair. Note that genes that mark the same cell type are not expected to be mutually exclusive, but are shown here for positive control.

Article Snippet: To address this research gap, we present DenoIST (Denoising Image-based Spatial Transcriptomics), a Poisson mixture model tailored for denoising IST data by reducing the effects of transcript contamination in downstream analysis tasks.

Techniques: Expressing, Gene Expression, Positive Control

a) UMAP visualisation of lung fibrosis data after applying DenoIST. Sample TILD028MA is shown here. Cells with 0 count are greyed out for visual clarity. b) An airway section from fibrotic sample VUILD110. Each dot is a cell. Cells with 0 count are greyed out for visual clarity. Annotated airway cell types and gene expression (raw counts and DenoIST-adjusted counts) for KRT5 and MUC5B are shown. c) Proportions of RCTD classification using raw counts and DenoIST-adjusted counts in healthy sample VUHD116A. d) RCTD assignment weights of the second highest lineage of each cell in healthy sample VUHD116A, stratified by their manually annotated lineages. Cells with a pure identity should have low weights for the incorrect lineages.

Journal: bioRxiv

Article Title: Denoising image-based spatial transcriptomics data with DenoIST

doi: 10.1101/2025.11.13.688387

Figure Lengend Snippet: a) UMAP visualisation of lung fibrosis data after applying DenoIST. Sample TILD028MA is shown here. Cells with 0 count are greyed out for visual clarity. b) An airway section from fibrotic sample VUILD110. Each dot is a cell. Cells with 0 count are greyed out for visual clarity. Annotated airway cell types and gene expression (raw counts and DenoIST-adjusted counts) for KRT5 and MUC5B are shown. c) Proportions of RCTD classification using raw counts and DenoIST-adjusted counts in healthy sample VUHD116A. d) RCTD assignment weights of the second highest lineage of each cell in healthy sample VUHD116A, stratified by their manually annotated lineages. Cells with a pure identity should have low weights for the incorrect lineages.

Article Snippet: To address this research gap, we present DenoIST (Denoising Image-based Spatial Transcriptomics), a Poisson mixture model tailored for denoising IST data by reducing the effects of transcript contamination in downstream analysis tasks.

Techniques: Gene Expression