roipoly.m Search Results


roipoly.m matlab function  (MathWorks Inc)
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MathWorks Inc roipoly.m matlab function
Roipoly.M Matlab Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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roipoly.m matlab function - by Bioz Stars, 2026-03
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roipoly.m function  (MathWorks Inc)
90
MathWorks Inc roipoly.m function
Roipoly.M Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
roipoly.m function - by Bioz Stars, 2026-03
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roipoly  (MathWorks Inc)
90
MathWorks Inc roipoly
Roipoly, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
roipoly - by Bioz Stars, 2026-03
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roipoly.m procedure  (MathWorks Inc)
90
MathWorks Inc roipoly.m procedure
Roipoly.M Procedure, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
roipoly.m procedure - by Bioz Stars, 2026-03
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roipoly.m  (MathWorks Inc)
90
MathWorks Inc roipoly.m
A) User input needed for these steps. Excel sheet updated with mouse information as well as image_system_info.m updated with image system information is read into the pipeline. A single frame is loaded and a user defined binary mask (using the <t>roipoly.m</t> function) and seed locations are created. B) These steps will run without user input. Step-wise illustration of the data pre-processing pipeline color-coded for hemoglobin (red), fluorophore (green), or both (black, grey) specific steps. C) After the pre-processing steps in A,B), the toolbox supports various types of data analysis (e.g., seed-wise FC, bilateral FC, node degree FC, spectral) and all follow the dark blue illustrated analysis pipeline. The initial analysis is performed per run, per mouse, followed by averaging across mice. A pixel-wise statistical comparison is performed (e.g., t-test) and the cluster size-based thresholding is implemented to correct for multiple comparisons. *Only for seed-wise FC are matrices created and fed through the enrichment pipeline (light blue).
Roipoly.M, supplied by MathWorks Inc, 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/roipoly.m/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
roipoly.m - by Bioz Stars, 2026-03
90/100 stars
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manual segmentation matlab function roipoly.m  (MathWorks Inc)
90
MathWorks Inc manual segmentation matlab function roipoly.m
A) User input needed for these steps. Excel sheet updated with mouse information as well as image_system_info.m updated with image system information is read into the pipeline. A single frame is loaded and a user defined binary mask (using the <t>roipoly.m</t> function) and seed locations are created. B) These steps will run without user input. Step-wise illustration of the data pre-processing pipeline color-coded for hemoglobin (red), fluorophore (green), or both (black, grey) specific steps. C) After the pre-processing steps in A,B), the toolbox supports various types of data analysis (e.g., seed-wise FC, bilateral FC, node degree FC, spectral) and all follow the dark blue illustrated analysis pipeline. The initial analysis is performed per run, per mouse, followed by averaging across mice. A pixel-wise statistical comparison is performed (e.g., t-test) and the cluster size-based thresholding is implemented to correct for multiple comparisons. *Only for seed-wise FC are matrices created and fed through the enrichment pipeline (light blue).
Manual Segmentation Matlab Function Roipoly.M, supplied by MathWorks Inc, 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/manual segmentation matlab function roipoly.m/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
manual segmentation matlab function roipoly.m - by Bioz Stars, 2026-03
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funcion del matlab roipoly.m  (MathWorks Inc)
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MathWorks Inc funcion del matlab roipoly.m
A) User input needed for these steps. Excel sheet updated with mouse information as well as image_system_info.m updated with image system information is read into the pipeline. A single frame is loaded and a user defined binary mask (using the <t>roipoly.m</t> function) and seed locations are created. B) These steps will run without user input. Step-wise illustration of the data pre-processing pipeline color-coded for hemoglobin (red), fluorophore (green), or both (black, grey) specific steps. C) After the pre-processing steps in A,B), the toolbox supports various types of data analysis (e.g., seed-wise FC, bilateral FC, node degree FC, spectral) and all follow the dark blue illustrated analysis pipeline. The initial analysis is performed per run, per mouse, followed by averaging across mice. A pixel-wise statistical comparison is performed (e.g., t-test) and the cluster size-based thresholding is implemented to correct for multiple comparisons. *Only for seed-wise FC are matrices created and fed through the enrichment pipeline (light blue).
Funcion Del Matlab Roipoly.M, supplied by MathWorks Inc, 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/funcion del matlab roipoly.m/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
funcion del matlab roipoly.m - by Bioz Stars, 2026-03
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Image Search Results


A) User input needed for these steps. Excel sheet updated with mouse information as well as image_system_info.m updated with image system information is read into the pipeline. A single frame is loaded and a user defined binary mask (using the roipoly.m function) and seed locations are created. B) These steps will run without user input. Step-wise illustration of the data pre-processing pipeline color-coded for hemoglobin (red), fluorophore (green), or both (black, grey) specific steps. C) After the pre-processing steps in A,B), the toolbox supports various types of data analysis (e.g., seed-wise FC, bilateral FC, node degree FC, spectral) and all follow the dark blue illustrated analysis pipeline. The initial analysis is performed per run, per mouse, followed by averaging across mice. A pixel-wise statistical comparison is performed (e.g., t-test) and the cluster size-based thresholding is implemented to correct for multiple comparisons. *Only for seed-wise FC are matrices created and fed through the enrichment pipeline (light blue).

Journal: bioRxiv

Article Title: An open source statistical and data processing toolbox for wide-field optical imaging in mice

doi: 10.1101/2021.04.07.438885

Figure Lengend Snippet: A) User input needed for these steps. Excel sheet updated with mouse information as well as image_system_info.m updated with image system information is read into the pipeline. A single frame is loaded and a user defined binary mask (using the roipoly.m function) and seed locations are created. B) These steps will run without user input. Step-wise illustration of the data pre-processing pipeline color-coded for hemoglobin (red), fluorophore (green), or both (black, grey) specific steps. C) After the pre-processing steps in A,B), the toolbox supports various types of data analysis (e.g., seed-wise FC, bilateral FC, node degree FC, spectral) and all follow the dark blue illustrated analysis pipeline. The initial analysis is performed per run, per mouse, followed by averaging across mice. A pixel-wise statistical comparison is performed (e.g., t-test) and the cluster size-based thresholding is implemented to correct for multiple comparisons. *Only for seed-wise FC are matrices created and fed through the enrichment pipeline (light blue).

Article Snippet: Binary masks are created using the roipoly.m function in MATLAB and the user traces the perimeter of the brain visible in the FOV.

Techniques: