相关实验视频

Updated: Jun 23, 2026

Preparation of 3D Collagen Gels and Microchannels for the Study of 3D Interactions In Vivo
10:24

Preparation of 3D Collagen Gels and Microchannels for the Study of 3D Interactions In Vivo

Published on: May 9, 2016

17.1K

基于MATLAB的算法和软件用于分析波形原纤维

Stanislav Polzer1, Sarah Thompson2, Swathi Vittalbabu2

  • 1Department of Applied Mechanics, VSB-Technical University of Ostrava, 17.listopadu 2172/15, 708 00 Ostrava, Czech Republic.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada
|November 22, 2023
PubMed
概括

这项研究引入了一种自动化算法,用于分析软组织纤维结构,准确测量方向和波动性. 这种新方法增强了生物组织表征和机械建模能力.

关键词:
自动化算法自动化算法原蛋白的结构是原的结构.纤维导向的导向 纤维导向纤维纤维的波浪性 波浪性图像分析图像分析软组织分析分析软组织分析

更多相关视频

Quantifying Fibrillar Collagen Organization with Curvelet Transform-Based Tools07:58

Quantifying Fibrillar Collagen Organization with Curvelet Transform-Based Tools

Published on: November 11, 2020

6.1K
A Method to Study the Correlation Between Local Collagen Structure and Mechanical Properties of Atherosclerotic Plaque Fibrous Tissue13:45

A Method to Study the Correlation Between Local Collagen Structure and Mechanical Properties of Atherosclerotic Plaque Fibrous Tissue

Published on: November 11, 2022

2.1K

相关概念视频

Fast Fourier Transform01:10

Fast Fourier Transform

The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
Introduction to MATLAB01:24

Introduction to MATLAB

MATLAB stands for Matrix Laboratory. MathWorks developed MATLAB as a multi-paradigm numerical computing environment and proprietary programming language. It has evolved significantly over the years to become a tool utilized by engineers, scientists, and mathematicians for various tasks, including matrix calculations, developing algorithms, data analysis, and visualization. MATLAB's applications span various industries and disciplines. It's used in image and signal processing, communications,...