Review



matlab-based image analysis tool simpoly  (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-based image analysis tool simpoly
    Matlab Based Image Analysis Tool Simpoly, 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/matlab-based image analysis tool simpoly/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab-based image analysis tool simpoly - by Bioz Stars, 2026-03
    90/100 stars

    Images



    Similar Products

    matlab-based image analysis tool simpoly  (MathWorks Inc)
    90
    MathWorks Inc matlab-based image analysis tool simpoly
    Matlab Based Image Analysis Tool Simpoly, 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/matlab-based image analysis tool simpoly/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab-based image analysis tool simpoly - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier
    matlab-based simpoly tool  (MathWorks Inc)
    90
    MathWorks Inc matlab-based simpoly tool
    The <t>SIMPoly</t> algorithm includes an initial built-in step that uses the SEM micrograph scale bar to convert pixels to micrometers. This allows fiber diameter measurements to be output in microns. If the micrometer/pixel ratio is already known, it can be entered without measurement of the scale bar, or if it is unknown but there is no scale bar, the output will be in pixels. SEM, scanning electron microscopy; SIMPoly, Semiautomated Image Measurements of Polymers.
    Matlab Based Simpoly Tool, 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/matlab-based simpoly tool/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab-based simpoly tool - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier
    simpoly matlab-based tool  (MathWorks Inc)
    90
    MathWorks Inc simpoly matlab-based tool
    The <t>SIMPoly</t> algorithm includes an initial built-in step that uses the SEM micrograph scale bar to convert pixels to micrometers. This allows fiber diameter measurements to be output in microns. If the micrometer/pixel ratio is already known, it can be entered without measurement of the scale bar, or if it is unknown but there is no scale bar, the output will be in pixels. SEM, scanning electron microscopy; SIMPoly, Semiautomated Image Measurements of Polymers.
    Simpoly Matlab Based Tool, 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/simpoly matlab-based tool/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    simpoly matlab-based tool - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    The SIMPoly algorithm includes an initial built-in step that uses the SEM micrograph scale bar to convert pixels to micrometers. This allows fiber diameter measurements to be output in microns. If the micrometer/pixel ratio is already known, it can be entered without measurement of the scale bar, or if it is unknown but there is no scale bar, the output will be in pixels. SEM, scanning electron microscopy; SIMPoly, Semiautomated Image Measurements of Polymers.

    Journal: Tissue Engineering. Part C, Methods

    Article Title: SIMPoly: A Matlab-Based Image Analysis Tool to Measure Electrospun Polymer Scaffold Fiber Diameter

    doi: 10.1089/ten.tec.2020.0304

    Figure Lengend Snippet: The SIMPoly algorithm includes an initial built-in step that uses the SEM micrograph scale bar to convert pixels to micrometers. This allows fiber diameter measurements to be output in microns. If the micrometer/pixel ratio is already known, it can be entered without measurement of the scale bar, or if it is unknown but there is no scale bar, the output will be in pixels. SEM, scanning electron microscopy; SIMPoly, Semiautomated Image Measurements of Polymers.

    Article Snippet: In addition, three researchers individually measured every image from the PLGA image set by using the new Matlab-based SIMPoly tool.

    Techniques: Electron Microscopy

    Diagram of the overall workflow in the SIMPoly fiber analysis algorithm. Starting with an original image (A) , image processing steps include contrast enhancement through histogram equalization (B) , reconstruction to brighten desired fibers (C) , edge overlay for later background noise removal (D) , thresholding for initial removal of background noise (E) , image dilation and erosion for “closing” to correct any gaps created from previous filtering step (F) , median filter application to smooth fiber edges and remove any leftover noise (G) , dilation of fibers to brighten edges to normal size without presence of background noise (H) , and skeletonization of image and overlay of skeleton onto the binary image (I) . Color images are available online.

    Journal: Tissue Engineering. Part C, Methods

    Article Title: SIMPoly: A Matlab-Based Image Analysis Tool to Measure Electrospun Polymer Scaffold Fiber Diameter

    doi: 10.1089/ten.tec.2020.0304

    Figure Lengend Snippet: Diagram of the overall workflow in the SIMPoly fiber analysis algorithm. Starting with an original image (A) , image processing steps include contrast enhancement through histogram equalization (B) , reconstruction to brighten desired fibers (C) , edge overlay for later background noise removal (D) , thresholding for initial removal of background noise (E) , image dilation and erosion for “closing” to correct any gaps created from previous filtering step (F) , median filter application to smooth fiber edges and remove any leftover noise (G) , dilation of fibers to brighten edges to normal size without presence of background noise (H) , and skeletonization of image and overlay of skeleton onto the binary image (I) . Color images are available online.

    Article Snippet: In addition, three researchers individually measured every image from the PLGA image set by using the new Matlab-based SIMPoly tool.

    Techniques:

    Example output of the SIMPoly algorithm after analyzing a PLGA nanofiber image. (A) Original SEM Image. (B) Color map displaying distribution of fibers based on standard deviation. (C) Command Window displaying average diameter and standard deviation of fiber diameter measurements in pixels and microns. (D) Histogram of measured fibers with Gaussian curve fit over data. PLGA, poly(lactic-co-glycolic acid). Color images are available online.

    Journal: Tissue Engineering. Part C, Methods

    Article Title: SIMPoly: A Matlab-Based Image Analysis Tool to Measure Electrospun Polymer Scaffold Fiber Diameter

    doi: 10.1089/ten.tec.2020.0304

    Figure Lengend Snippet: Example output of the SIMPoly algorithm after analyzing a PLGA nanofiber image. (A) Original SEM Image. (B) Color map displaying distribution of fibers based on standard deviation. (C) Command Window displaying average diameter and standard deviation of fiber diameter measurements in pixels and microns. (D) Histogram of measured fibers with Gaussian curve fit over data. PLGA, poly(lactic-co-glycolic acid). Color images are available online.

    Article Snippet: In addition, three researchers individually measured every image from the PLGA image set by using the new Matlab-based SIMPoly tool.

    Techniques: Standard Deviation

    Bar graph displaying the actual diameter versus the diameter measured by using the SIMPoly method for each synthetic image. The average percent error between the measured and known diameters was 2.1% for the synthetic ordered images, and 1.6% for the synthetic disordered images. Color images are available online.

    Journal: Tissue Engineering. Part C, Methods

    Article Title: SIMPoly: A Matlab-Based Image Analysis Tool to Measure Electrospun Polymer Scaffold Fiber Diameter

    doi: 10.1089/ten.tec.2020.0304

    Figure Lengend Snippet: Bar graph displaying the actual diameter versus the diameter measured by using the SIMPoly method for each synthetic image. The average percent error between the measured and known diameters was 2.1% for the synthetic ordered images, and 1.6% for the synthetic disordered images. Color images are available online.

    Article Snippet: In addition, three researchers individually measured every image from the PLGA image set by using the new Matlab-based SIMPoly tool.

    Techniques:

    Bar graph displaying the average fiber diameter measurements made by each researcher using each of the three analysis methods (manual ImageJ, DiameterJ, and Matlab-based SIMPoly) for the PLGA nanofiber images. Although there is no known “true” fiber size for these samples, the new Matlab-based SIMPoly method provided appropriate fiber diameter measurements, as compared with the more well-established manual and DiameterJ approaches, and the SIMPoly method had the least variation between researchers. Color images are available online.

    Journal: Tissue Engineering. Part C, Methods

    Article Title: SIMPoly: A Matlab-Based Image Analysis Tool to Measure Electrospun Polymer Scaffold Fiber Diameter

    doi: 10.1089/ten.tec.2020.0304

    Figure Lengend Snippet: Bar graph displaying the average fiber diameter measurements made by each researcher using each of the three analysis methods (manual ImageJ, DiameterJ, and Matlab-based SIMPoly) for the PLGA nanofiber images. Although there is no known “true” fiber size for these samples, the new Matlab-based SIMPoly method provided appropriate fiber diameter measurements, as compared with the more well-established manual and DiameterJ approaches, and the SIMPoly method had the least variation between researchers. Color images are available online.

    Article Snippet: In addition, three researchers individually measured every image from the PLGA image set by using the new Matlab-based SIMPoly tool.

    Techniques:

    The SIMPoly algorithm includes an initial built-in step that uses the SEM micrograph scale bar to convert pixels to micrometers. This allows fiber diameter measurements to be output in microns. If the micrometer/pixel ratio is already known, it can be entered without measurement of the scale bar, or if it is unknown but there is no scale bar, the output will be in pixels. SEM, scanning electron microscopy; SIMPoly, Semiautomated Image Measurements of Polymers.

    Journal: Tissue Engineering. Part C, Methods

    Article Title: SIMPoly: A Matlab-Based Image Analysis Tool to Measure Electrospun Polymer Scaffold Fiber Diameter

    doi: 10.1089/ten.tec.2020.0304

    Figure Lengend Snippet: The SIMPoly algorithm includes an initial built-in step that uses the SEM micrograph scale bar to convert pixels to micrometers. This allows fiber diameter measurements to be output in microns. If the micrometer/pixel ratio is already known, it can be entered without measurement of the scale bar, or if it is unknown but there is no scale bar, the output will be in pixels. SEM, scanning electron microscopy; SIMPoly, Semiautomated Image Measurements of Polymers.

    Article Snippet: Researchers who choose to implement the SIMPoly Matlab-based tool should note that it only uses a Gaussian fit to determine fiber diameter.

    Techniques: Electron Microscopy

    Diagram of the overall workflow in the SIMPoly fiber analysis algorithm. Starting with an original image (A) , image processing steps include contrast enhancement through histogram equalization (B) , reconstruction to brighten desired fibers (C) , edge overlay for later background noise removal (D) , thresholding for initial removal of background noise (E) , image dilation and erosion for “closing” to correct any gaps created from previous filtering step (F) , median filter application to smooth fiber edges and remove any leftover noise (G) , dilation of fibers to brighten edges to normal size without presence of background noise (H) , and skeletonization of image and overlay of skeleton onto the binary image (I) . Color images are available online.

    Journal: Tissue Engineering. Part C, Methods

    Article Title: SIMPoly: A Matlab-Based Image Analysis Tool to Measure Electrospun Polymer Scaffold Fiber Diameter

    doi: 10.1089/ten.tec.2020.0304

    Figure Lengend Snippet: Diagram of the overall workflow in the SIMPoly fiber analysis algorithm. Starting with an original image (A) , image processing steps include contrast enhancement through histogram equalization (B) , reconstruction to brighten desired fibers (C) , edge overlay for later background noise removal (D) , thresholding for initial removal of background noise (E) , image dilation and erosion for “closing” to correct any gaps created from previous filtering step (F) , median filter application to smooth fiber edges and remove any leftover noise (G) , dilation of fibers to brighten edges to normal size without presence of background noise (H) , and skeletonization of image and overlay of skeleton onto the binary image (I) . Color images are available online.

    Article Snippet: Researchers who choose to implement the SIMPoly Matlab-based tool should note that it only uses a Gaussian fit to determine fiber diameter.

    Techniques:

    Example output of the SIMPoly algorithm after analyzing a PLGA nanofiber image. (A) Original SEM Image. (B) Color map displaying distribution of fibers based on standard deviation. (C) Command Window displaying average diameter and standard deviation of fiber diameter measurements in pixels and microns. (D) Histogram of measured fibers with Gaussian curve fit over data. PLGA, poly(lactic-co-glycolic acid). Color images are available online.

    Journal: Tissue Engineering. Part C, Methods

    Article Title: SIMPoly: A Matlab-Based Image Analysis Tool to Measure Electrospun Polymer Scaffold Fiber Diameter

    doi: 10.1089/ten.tec.2020.0304

    Figure Lengend Snippet: Example output of the SIMPoly algorithm after analyzing a PLGA nanofiber image. (A) Original SEM Image. (B) Color map displaying distribution of fibers based on standard deviation. (C) Command Window displaying average diameter and standard deviation of fiber diameter measurements in pixels and microns. (D) Histogram of measured fibers with Gaussian curve fit over data. PLGA, poly(lactic-co-glycolic acid). Color images are available online.

    Article Snippet: Researchers who choose to implement the SIMPoly Matlab-based tool should note that it only uses a Gaussian fit to determine fiber diameter.

    Techniques: Standard Deviation

    Bar graph displaying the actual diameter versus the diameter measured by using the SIMPoly method for each synthetic image. The average percent error between the measured and known diameters was 2.1% for the synthetic ordered images, and 1.6% for the synthetic disordered images. Color images are available online.

    Journal: Tissue Engineering. Part C, Methods

    Article Title: SIMPoly: A Matlab-Based Image Analysis Tool to Measure Electrospun Polymer Scaffold Fiber Diameter

    doi: 10.1089/ten.tec.2020.0304

    Figure Lengend Snippet: Bar graph displaying the actual diameter versus the diameter measured by using the SIMPoly method for each synthetic image. The average percent error between the measured and known diameters was 2.1% for the synthetic ordered images, and 1.6% for the synthetic disordered images. Color images are available online.

    Article Snippet: Researchers who choose to implement the SIMPoly Matlab-based tool should note that it only uses a Gaussian fit to determine fiber diameter.

    Techniques:

    Bar graph displaying the average fiber diameter measurements made by each researcher using each of the three analysis methods (manual ImageJ, DiameterJ, and Matlab-based SIMPoly) for the PLGA nanofiber images. Although there is no known “true” fiber size for these samples, the new Matlab-based SIMPoly method provided appropriate fiber diameter measurements, as compared with the more well-established manual and DiameterJ approaches, and the SIMPoly method had the least variation between researchers. Color images are available online.

    Journal: Tissue Engineering. Part C, Methods

    Article Title: SIMPoly: A Matlab-Based Image Analysis Tool to Measure Electrospun Polymer Scaffold Fiber Diameter

    doi: 10.1089/ten.tec.2020.0304

    Figure Lengend Snippet: Bar graph displaying the average fiber diameter measurements made by each researcher using each of the three analysis methods (manual ImageJ, DiameterJ, and Matlab-based SIMPoly) for the PLGA nanofiber images. Although there is no known “true” fiber size for these samples, the new Matlab-based SIMPoly method provided appropriate fiber diameter measurements, as compared with the more well-established manual and DiameterJ approaches, and the SIMPoly method had the least variation between researchers. Color images are available online.

    Article Snippet: Researchers who choose to implement the SIMPoly Matlab-based tool should note that it only uses a Gaussian fit to determine fiber diameter.

    Techniques: