Review



matlab 2021a programming  (MathWorks Inc)


Bioz Verified Symbol MathWorks Inc is a verified supplier  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    MathWorks Inc matlab 2021a programming
    Matlab 2021a Programming, 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/product/matlab+2021a+program/10__1016_slash_j__cie__2024__110654-233-24-24
    Average 90 stars, based on 1 article reviews
    matlab 2021a programming - by Bioz Stars, 2026-10
    90/100 stars

    Images

    Related Articles

    other:

    Article Title: Cage-Embedded Crown-Type Dual Coil Wireless Power Transfer Based Microwave Brain Stimulation System for Untethered and Moving Mice
    Article Snippet: This study proposes a novel brain-stimulated mouse experiment system which is insensitive to the variations in the position and orientation of a mouse.. This is achieved by the proposed novel crown-type dual coil system for magnetically coupled resonant wireless power transfer (MCR-WPT).. In the detailed system architecture, the transmitter coil consists of a crown-type outer coil and a solenoid-type inner coil.

    Article Title: A new sample reduction method for decreasing the running time of the k-nearest neighbors algorithm to diagnose patients with congestive heart failure: backward iterative elimination
    Article Snippet: The model complexity is strictly connected to both the sample size and the number of features in a conventional pattern recognition study.. Although there are some sample reduction methods in the literature, they cannot give the highest classifier performance or are not able to achieve the minimum number of samples in general.. In this study, we offered a new sample reduction method, named Backward Iterative Elimination.

    Article Title: Comparison of five convolutional neural networks for predicting osteoporosis based on mandibular cortical index on panoramic radiographs.
    Article Snippet: Deeplearning algorithms were developed in the MATLAB 2021a program and operated on GPU graphics cards.



    Similar Products

    matlab 2021a programming  (MathWorks Inc)
    90
    MathWorks Inc matlab 2021a programming
    Matlab 2021a Programming, 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/product/matlab+2021a+program/10__1016_slash_j__cie__2024__110654-233-24-24
    Average 90 stars, based on 1 article reviews
    matlab 2021a programming - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    programming language matlab 2021a  (MathWorks Inc)
    90
    MathWorks Inc programming language matlab 2021a
    Programming Language Matlab 2021a, 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/product/matlab+2021a+program/10__1016_slash_j__aei__2024__102673-168-7-12
    Average 90 stars, based on 1 article reviews
    programming language matlab 2021a - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    custom image analysis program matlab 2021a  (MathWorks Inc)
    90
    MathWorks Inc custom image analysis program matlab 2021a
    Custom Image Analysis Program Matlab 2021a, 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/product/matlab+2021a+program/pm37738807-72-12-16
    Average 90 stars, based on 1 article reviews
    custom image analysis program matlab 2021a - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    in-house matlab program 2021a  (MathWorks Inc)
    90
    MathWorks Inc in-house matlab program 2021a
    CartoCell pipeline for high-content epithelial cysts segmentation Phase 1: the “high-resolution raw images” consist of confocal z-stack images, where the cell membrane is stained. These images are segmented and proofread using LimeSeg and a custom <t>MATLAB</t> code for curation to obtain the “high-resolution label images” . Together, the raw and the label images encompass the “training high-resolution dataset.” Number of samples = 21. Phase 2: the “training high-resolution dataset” is down-sampled to obtain the “training down-sampled dataset,” which is the training set for the “model M1.” Phase 3: low-resolution images are obtained from confocal z-stack images, stained in a similar way to phase 1. Number of samples = 293. Scale bar, 100 μm. Next, the “work-flow M1” is applied: inference using “model M1” and subsequent post-processing to obtain individual cell instance predictions and cell masks, followed by the 3D Voronoi algorithm to guarantee that predicted cells remain in close contact. As a result, the “low-resolution label images” are generated. Phase 4: training of the “model M2” on the large “training low-resolution dataset.” Number of samples = 314. Phase 5: high-content segmentation of new low-resolution images (unseen by the pipeline) using the “work-flow M2,” which is equivalent to the “work-flow M1” but using the “model M2.” See also <xref ref-type=Figures S1–S3 ; Tables S2 , , and . " width="250" height="auto" />
    In House Matlab Program 2021a, 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/product/matlab+2021a+program/pmc10626192-377-8-9
    Average 90 stars, based on 1 article reviews
    in-house matlab program 2021a - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    customized matlab program v.2021a  (MathWorks Inc)
    90
    MathWorks Inc customized matlab program v.2021a
    CartoCell pipeline for high-content epithelial cysts segmentation Phase 1: the “high-resolution raw images” consist of confocal z-stack images, where the cell membrane is stained. These images are segmented and proofread using LimeSeg and a custom <t>MATLAB</t> code for curation to obtain the “high-resolution label images” . Together, the raw and the label images encompass the “training high-resolution dataset.” Number of samples = 21. Phase 2: the “training high-resolution dataset” is down-sampled to obtain the “training down-sampled dataset,” which is the training set for the “model M1.” Phase 3: low-resolution images are obtained from confocal z-stack images, stained in a similar way to phase 1. Number of samples = 293. Scale bar, 100 μm. Next, the “work-flow M1” is applied: inference using “model M1” and subsequent post-processing to obtain individual cell instance predictions and cell masks, followed by the 3D Voronoi algorithm to guarantee that predicted cells remain in close contact. As a result, the “low-resolution label images” are generated. Phase 4: training of the “model M2” on the large “training low-resolution dataset.” Number of samples = 314. Phase 5: high-content segmentation of new low-resolution images (unseen by the pipeline) using the “work-flow M2,” which is equivalent to the “work-flow M1” but using the “model M2.” See also <xref ref-type=Figures S1–S3 ; Tables S2 , , and . " width="250" height="auto" />
    Customized Matlab Program V.2021a, 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/product/matlab+2021a+program/pm37670588-73-7-8
    Average 90 stars, based on 1 article reviews
    customized matlab program v.2021a - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    custom-written matlab programs version 2021a  (MathWorks Inc)
    90
    MathWorks Inc custom-written matlab programs version 2021a
    CartoCell pipeline for high-content epithelial cysts segmentation Phase 1: the “high-resolution raw images” consist of confocal z-stack images, where the cell membrane is stained. These images are segmented and proofread using LimeSeg and a custom <t>MATLAB</t> code for curation to obtain the “high-resolution label images” . Together, the raw and the label images encompass the “training high-resolution dataset.” Number of samples = 21. Phase 2: the “training high-resolution dataset” is down-sampled to obtain the “training down-sampled dataset,” which is the training set for the “model M1.” Phase 3: low-resolution images are obtained from confocal z-stack images, stained in a similar way to phase 1. Number of samples = 293. Scale bar, 100 μm. Next, the “work-flow M1” is applied: inference using “model M1” and subsequent post-processing to obtain individual cell instance predictions and cell masks, followed by the 3D Voronoi algorithm to guarantee that predicted cells remain in close contact. As a result, the “low-resolution label images” are generated. Phase 4: training of the “model M2” on the large “training low-resolution dataset.” Number of samples = 314. Phase 5: high-content segmentation of new low-resolution images (unseen by the pipeline) using the “work-flow M2,” which is equivalent to the “work-flow M1” but using the “model M2.” See also <xref ref-type=Figures S1–S3 ; Tables S2 , , and . " width="250" height="auto" />
    Custom Written Matlab Programs Version 2021a, 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/product/matlab+2021a+program/pm37445450-187-7-11
    Average 90 stars, based on 1 article reviews
    custom-written matlab programs version 2021a - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    home-built program matlab 2021a  (MathWorks Inc)
    90
    MathWorks Inc home-built program matlab 2021a
    CartoCell pipeline for high-content epithelial cysts segmentation Phase 1: the “high-resolution raw images” consist of confocal z-stack images, where the cell membrane is stained. These images are segmented and proofread using LimeSeg and a custom <t>MATLAB</t> code for curation to obtain the “high-resolution label images” . Together, the raw and the label images encompass the “training high-resolution dataset.” Number of samples = 21. Phase 2: the “training high-resolution dataset” is down-sampled to obtain the “training down-sampled dataset,” which is the training set for the “model M1.” Phase 3: low-resolution images are obtained from confocal z-stack images, stained in a similar way to phase 1. Number of samples = 293. Scale bar, 100 μm. Next, the “work-flow M1” is applied: inference using “model M1” and subsequent post-processing to obtain individual cell instance predictions and cell masks, followed by the 3D Voronoi algorithm to guarantee that predicted cells remain in close contact. As a result, the “low-resolution label images” are generated. Phase 4: training of the “model M2” on the large “training low-resolution dataset.” Number of samples = 314. Phase 5: high-content segmentation of new low-resolution images (unseen by the pipeline) using the “work-flow M2,” which is equivalent to the “work-flow M1” but using the “model M2.” See also <xref ref-type=Figures S1–S3 ; Tables S2 , , and . " width="250" height="auto" />
    Home Built Program Matlab 2021a, 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/product/matlab+2021a+program/pm37318232-75-14-14
    Average 90 stars, based on 1 article reviews
    home-built program matlab 2021a - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    matlab 2021a program  (MathWorks Inc)
    90
    MathWorks Inc matlab 2021a program
    CartoCell pipeline for high-content epithelial cysts segmentation Phase 1: the “high-resolution raw images” consist of confocal z-stack images, where the cell membrane is stained. These images are segmented and proofread using LimeSeg and a custom <t>MATLAB</t> code for curation to obtain the “high-resolution label images” . Together, the raw and the label images encompass the “training high-resolution dataset.” Number of samples = 21. Phase 2: the “training high-resolution dataset” is down-sampled to obtain the “training down-sampled dataset,” which is the training set for the “model M1.” Phase 3: low-resolution images are obtained from confocal z-stack images, stained in a similar way to phase 1. Number of samples = 293. Scale bar, 100 μm. Next, the “work-flow M1” is applied: inference using “model M1” and subsequent post-processing to obtain individual cell instance predictions and cell masks, followed by the 3D Voronoi algorithm to guarantee that predicted cells remain in close contact. As a result, the “low-resolution label images” are generated. Phase 4: training of the “model M2” on the large “training low-resolution dataset.” Number of samples = 314. Phase 5: high-content segmentation of new low-resolution images (unseen by the pipeline) using the “work-flow M2,” which is equivalent to the “work-flow M1” but using the “model M2.” See also <xref ref-type=Figures S1–S3 ; Tables S2 , , and . " width="250" height="auto" />
    Matlab 2021a Program, 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/product/matlab+2021a+program/10__1109_slash_tbcas__2023__3255248-105-19-19
    Average 90 stars, based on 1 article reviews
    matlab 2021a program - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    custom program matlab 2021a  (MathWorks Inc)
    90
    MathWorks Inc custom program matlab 2021a
    CartoCell pipeline for high-content epithelial cysts segmentation Phase 1: the “high-resolution raw images” consist of confocal z-stack images, where the cell membrane is stained. These images are segmented and proofread using LimeSeg and a custom <t>MATLAB</t> code for curation to obtain the “high-resolution label images” . Together, the raw and the label images encompass the “training high-resolution dataset.” Number of samples = 21. Phase 2: the “training high-resolution dataset” is down-sampled to obtain the “training down-sampled dataset,” which is the training set for the “model M1.” Phase 3: low-resolution images are obtained from confocal z-stack images, stained in a similar way to phase 1. Number of samples = 293. Scale bar, 100 μm. Next, the “work-flow M1” is applied: inference using “model M1” and subsequent post-processing to obtain individual cell instance predictions and cell masks, followed by the 3D Voronoi algorithm to guarantee that predicted cells remain in close contact. As a result, the “low-resolution label images” are generated. Phase 4: training of the “model M2” on the large “training low-resolution dataset.” Number of samples = 314. Phase 5: high-content segmentation of new low-resolution images (unseen by the pipeline) using the “work-flow M2,” which is equivalent to the “work-flow M1” but using the “model M2.” See also <xref ref-type=Figures S1–S3 ; Tables S2 , , and . " width="250" height="auto" />
    Custom Program Matlab 2021a, 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/product/matlab+2021a+program/pmc10041375-89-12-14
    Average 90 stars, based on 1 article reviews
    custom program matlab 2021a - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    CartoCell pipeline for high-content epithelial cysts segmentation Phase 1: the “high-resolution raw images” consist of confocal z-stack images, where the cell membrane is stained. These images are segmented and proofread using LimeSeg and a custom MATLAB code for curation to obtain the “high-resolution label images” . Together, the raw and the label images encompass the “training high-resolution dataset.” Number of samples = 21. Phase 2: the “training high-resolution dataset” is down-sampled to obtain the “training down-sampled dataset,” which is the training set for the “model M1.” Phase 3: low-resolution images are obtained from confocal z-stack images, stained in a similar way to phase 1. Number of samples = 293. Scale bar, 100 μm. Next, the “work-flow M1” is applied: inference using “model M1” and subsequent post-processing to obtain individual cell instance predictions and cell masks, followed by the 3D Voronoi algorithm to guarantee that predicted cells remain in close contact. As a result, the “low-resolution label images” are generated. Phase 4: training of the “model M2” on the large “training low-resolution dataset.” Number of samples = 314. Phase 5: high-content segmentation of new low-resolution images (unseen by the pipeline) using the “work-flow M2,” which is equivalent to the “work-flow M1” but using the “model M2.” See also <xref ref-type=Figures S1–S3 ; Tables S2 , , and . " width="100%" height="100%">

    Journal: Cell Reports Methods

    Article Title: CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia

    doi: 10.1016/j.crmeth.2023.100597

    Figure Lengend Snippet: CartoCell pipeline for high-content epithelial cysts segmentation Phase 1: the “high-resolution raw images” consist of confocal z-stack images, where the cell membrane is stained. These images are segmented and proofread using LimeSeg and a custom MATLAB code for curation to obtain the “high-resolution label images” . Together, the raw and the label images encompass the “training high-resolution dataset.” Number of samples = 21. Phase 2: the “training high-resolution dataset” is down-sampled to obtain the “training down-sampled dataset,” which is the training set for the “model M1.” Phase 3: low-resolution images are obtained from confocal z-stack images, stained in a similar way to phase 1. Number of samples = 293. Scale bar, 100 μm. Next, the “work-flow M1” is applied: inference using “model M1” and subsequent post-processing to obtain individual cell instance predictions and cell masks, followed by the 3D Voronoi algorithm to guarantee that predicted cells remain in close contact. As a result, the “low-resolution label images” are generated. Phase 4: training of the “model M2” on the large “training low-resolution dataset.” Number of samples = 314. Phase 5: high-content segmentation of new low-resolution images (unseen by the pipeline) using the “work-flow M2,” which is equivalent to the “work-flow M1” but using the “model M2.” See also Figures S1–S3 ; Tables S2 , , and .

    Article Snippet: The output of LimeSeg was processed using an in-house MATLAB program (2021a MathWorks) to detect and curate imperfections during cysts segmentation (see section).

    Techniques: Membrane, Staining, Generated

    Journal: Cell Reports Methods

    Article Title: CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia

    doi: 10.1016/j.crmeth.2023.100597

    Figure Lengend Snippet:

    Article Snippet: The output of LimeSeg was processed using an in-house MATLAB program (2021a MathWorks) to detect and curate imperfections during cysts segmentation (see section).

    Techniques: Recombinant, Software