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Introduction to MATLAB

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,...

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相关实验视频

Updated: Jul 24, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

mEMbrain:一种交互式的深度学习 MATLAB 工具,用于商品桌面上的连接式细分.

Elisa C Pavarino¹, Emma Yang¹, Nagaraju Dhanyasi¹

¹Department of Cellular and Molecular Biology, Harvard University, Cambridge, MA, United States.

Frontiers in neural circuits

|July 3, 2023

概括

mEMbrain是一个用户友好的,开源的 MATLAB 软件,用于细分电子显微镜数据集,加速连接学研究. 它提供了无需编码的神经重建的工具,使高级分析更容易获得.

关键词:

在 MATLAB 中,我们可以使用 MATLAB.这是巨大的,巨大的.可负担得起的连接经济学.深度学习是一种深度学习.一个轻量级的软件.细分化细分化的细分化半自动神经回路重建的半自动神经回路重建卷电子显微镜的体积电子显微镜.

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From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

相关实验视频

Last Updated: Jul 24, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

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Published on: November 11, 2022

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

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Published on: August 13, 2014

科学领域:

神经科学是一个神经科学.
计算生物学计算生物学
图像分析图像分析

背景情况:

康涅狄格依赖于从电子显微镜 (EM) 数据中重建神经电路.
使用深度学习的自动细分方法已经推进了EM数据分析.
需要为神经科学图像分析提供可访问的开源工具.

研究的目的:

介绍mEMbrain,一个基于MATLAB的交互式软件,用于标记和细分EM数据集.
提供用户友好的工具,用于连接经济学研究中的高级分析.
为了加快手动标签和为MATLAB用户提供半自动细分.

主要方法:

开发了mEMbrain,这是一个具有图形用户界面的MATLAB软件,适用于Linux和Windows.
集成的mEMbrain与VAST工具用于基础真相生成,预处理和深度神经网络训练.
在各种物种,尺度和发育阶段的不同EM数据集上测试mEMbrain.

主要成果:

mEMbrain 简化了 EM 数据集的用户友好的标签和细分.
提供了一个有价值的EM资源,在五个数据集中提供了180小时的专家注释.
发布了四个预先训练的网络,以支持连接经济学研究.

结论:

mEMbrain为基于实验室的神经重建提供了一个无代码解决方案,提高了连接学的可访问性.
该软件和提供的资源旨在加快连接经济学研究的步伐.
为MATLAB用户提供半自动细分工具,以进行高效的数据分析.