Fiber Regeneration Smash

(PDF) SMASH – semi-automatic muscle analysis …

In this study, we propose an automated image analysis system for quantitative characterization of muscle fiber type composition.

SMASH – semi-automatic muscle analysis using …

However, as the mdx muscle is undergoing continual cycles of degeneration and regeneration the variability in fiber CSA is much greater than wild-type muscle [2, 31]. ... Dark gray areas are interstitial in SMASH and fibers using legacy methods while white areas are interstitial in both masks. Figure demonstrates the larger fiber area obtained ...

Dorsal Root Ganglion Stimulation in Chronic Painful …

neurostimulation on nerve regeneration between the proximal and distal nerve stumps in diabetic rats.42–45 Therefore, we hypothe-sized that neurostimulation for pain treatment at the level of the DRG might also lead to intraepidermal nerve ﬁber regeneration in SFN. The primary aim of this study was to assess the impact of

Methods for Analysis of Regeneration in Fibrotic Muscle …

Regeneration of the muscle fibers is apparent as a shift of myonuclei from the periphery of the fibers toward the center [1]. Fibrosis also becomes evident as a buildup of extracellular matrix (ECM) within the muscle's interstitial ... SMASH 2.0: …

Textile Waste Fiber Regeneration via a Green Chemistry

Textile Waste Fiber Regeneration via a Green Chemistry Approach: A Molecular Strategy for Sustainable Fashion Adv Mater. 2021 Dec;33(48): e2105174. ... However, waste textiles and fibers are still mainly disposed of in landfills or by incineration after their service life and thereby pollute the natural environment, as there is still no ...

Automated image segmentation method to analyse skeletal …

Here, we have developed a novel fully-automated image segmentation method based on neutrosophic set algorithms to analyse whole skeletal muscle cross sections in …

SMASH

Histological parameters including fiber distribution, fiber type, centrally nucleated fibers, and capillary density are all frequently quantified measures of skeletal muscle. These parameters reflect functional properties of muscle and undergo adaptation in …

(PDF) SMASH

Initial segmentation and fiber filter functions segment the image and remove non-fiber elements based on user-defined parameters to create a fiber mask. Establishing parameters set by the user,...

SMASH

Histological parameters including fiber distribution, fiber type, centrally nucleated fibers, and capillary density are all frequently quantified measures of skeletal muscle. These parameters …

Automatic and unbiased segmentation and quantification of myofibers …

We successfully applied our segmentation pipeline to uncover myofiber regeneration differences between two different muscle injury models, cardiotoxin and glycerol. Thus, Cellpose combined with...

(PDF) SMASH

Initial segmentation and fiber filter functions segment the image and remove non-fiber elements based on user-defined parameters to create a fiber mask. Establishing …

Comparison of mask file from legacy method and SMASH.

Figure demonstrates the larger fiber area obtained with SMASH compared to the legacy method of using a simple threshold for fiber area. from publication: SMASH - semi-automatic muscle...

Automated image segmentation method to analyse skeletal …

Here, we have developed a novel fully-automated image segmentation method based on neutrosophic set algorithms to analyse whole skeletal muscle cross sections in exercise-induced regenerating myofibers, referred as MyoView, designed to obtain accurate fiber size and distribution measurements.

SMASH – semi-automatic muscle analysis using …

In particular, centrally nucleated fibers are often used as a marker for muscle regeneration. While fully mature fibers have peripheral nuclei, newly regenerated fibers have central nuclei [15].

(PDF) SMASH – semi-automatic muscle analysis using …

In this study, we propose an automated image analysis system for quantitative characterization of muscle fiber type composition.

Table 2 Data comparison from legacy methods to SMASH

In our study, we investigated whether the deletion of miR-378a (miR-378) affects muscle regeneration. We subjected 6-week-old wild-type (WT) and miR-378 knockout (miR-378–/–) animals to the...

Textile Waste Fiber Regeneration via a Green …

the regeneration of natural fibers usually employ concentrated acidic or alkaline solutions, which destroy the polymer struc-tures of fibers, rendering them unusable as fibers in textiles and fashion. Moreover, these chemical processes unavoidably introduce hazardous substances and have been strictly pro-hibited in some countries.

SMASH – semi-automatic muscle analysis using …

All animal experiments were approved by the University of Pennsylvania Institutional Animal Care and Use Committee. C57Bl/6 mice were used as wild-type controls and mdxmice were used as a dystrophic model. Both animal groups were analyzed at 1 year of age.

(PDF) SMASH – semi-automatic muscle analysis …

In particular, centrally nucleated fibers are often used as a marker for muscle regeneration. While fully mature fibers have peripheral nuclei, newly regenerated fibers have central nuclei [15]. In many muscular dystrophies, which are …

Table 2 Data comparison from legacy methods to …

In our study, we investigated whether the deletion of miR-378a (miR-378) affects muscle regeneration. We subjected 6-week-old wild-type (WT) and miR-378 knockout (miR-378–/–) animals to the...

Table 2 Data comparison from legacy methods to SMASH

Download Table | Data comparison from legacy methods to SMASH from publication: SMASH - semi-automatic muscle analysis using segmentation of histology: A MATLAB application | Histological ...

Automatic and unbiased segmentation and quantification of …

We successfully applied our segmentation pipeline to uncover myofiber regeneration differences between two different muscle injury models, cardiotoxin and glycerol. …

Open-CSAM, a new tool for semi-automated analysis of …

We showed that Open-CSAM was more accurate to measure CSA in regenerating and dystrophic muscles as compared with SMASH, MyoVision, and MuscleJ softwares and that the inter-experimenter variability was negligible.

chapter 12 bio Flashcards

Study with Quizlet and memorize flashcards containing terms like A difference in the concentration of charged particles between one point and another is called a(n) ___________potential., Which is true about a neuron with a large diameter, myelinated axon as compared to a neuron with a small diameter, unmyelinated axon?, Which types of glial cells …

Open-CSAM, a new tool for semi-automated analysis of …

The main parameter studied to assess muscle regeneration efficacy is the cross-sectional area (CSA) of the myofibers as myofiber size correlates with muscle force. ... when performed manually. This is why programs were developed to completely automate the analysis of the CSA, such as SMASH, MyoVision, or MuscleJ softwares. ... Muscle Fibers ...

Open-CSAM, a new tool for semi-automated …

MuscleJ: a high-content analysis method to study skeletal muscle …

This is also an important parameter for characterization of regenerating fibers as it is a readout of regeneration efficiency. Running MuscleJ on muscle sections co-labeled with laminin and DAPI returns the number of regenerated fibers and the number of nuclei in each fiber. ... Smith LR, Barton ER. SMASH - semi-automatic muscle analysis using ...

Renewable regeneration optic fiber glucose sensor based …

Background: Optical fiber sensors have been used to detect glucose owing to advantages such as low cost, small size, and ease of operation etc. phenylboronic acid is one of the commonly used receptors for glucose detection, however phenylboronic acid based regenerative optical fiber sensors are commonly cumulative regeneration, renewable …

Nerve Fiber Regeneration Flashcards

Study with Quizlet and memorize flashcards containing terms like astrocytes producing inhibitory molecules, no macrophages to clear debris, normal nerve fiber, damaged fiber, macrophages eat debris, terminal degenerates and more.

Automated image segmentation method to analyse skeletal …

Here, we have developed a novel fully-automated image segmentation method based on neutrosophic set algorithms to analyse whole skeletal muscle cross sections in exercise-induced regenerating...