Cellects, a software to quantify cell expansion and motion

Automated quantification offers unique opportunities to study biological phenomena, increasing reproducibility, replicability, accuracy, and throughput, while reducing observer biases. We present Cellects, a tool to quantify growth and motion in 2D. This software operates with image sequences containing specimens growing and moving on an immobile flat surface. Its user-friendly interface makes it easy to adjust the quantification parameters to cover a wide range of species and conditions, and includes tools to validate the results and correct mistakes if necessary. The software provides the region covered by the specimens at each point of time, as well as many geometrical descriptors that characterize it. We validated Cellects with Physarum polycephalum, which is particularly difficult to detect because of its complex shape and internal heterogeneity. This validation covered five different conditions with different background and lighting, and found Cellects to be highly accurate in all..., Github link: https://github.com/Aurele-B/Cellects, , # Data from: Cellects, a software to quantify cell expansion and motion This README contains the information to install the Cellects software, to use it, and to reproduce the results of the paper describing it. Since reproducing the results only requires the python project named CellectsPaper, a prior installation of Cellects is not mandatory. ## Content This repository contains: 1 Two files corresponding to three different Cellects installation methods: * Cellects_installer.exe * Cellects.zip 2 Two zip files allowing to reproduce the results of the paper describing Cellects: * Cellects_data.zip * CellectsPaper.zip The next section explain how to install and use Cellects, and the last section explain how to reproduce the results of the paper. ## 1. Install and use Cellects ### 1.1. Installation Following the README available [here](https://github.com/Aurele-B/Cellects), you can install Cellects by: * Downloading and running Cellects_installer.exe or Cellects.zip on...自动化定量分析为生物学现象研究提供了独特契机，可提升实验的可重复性、复现性、准确性与通量，同时降低观察者偏倚。本文介绍Cellects——一款用于二维环境下样本生长与运动定量分析的工具。该软件可处理包含在固定平面上生长、运动的样本的图像序列。其用户友好的交互界面支持灵活调整定量参数，适配多样物种与实验条件，还内置结果验证与错误修正工具。软件可输出各时间点样本覆盖的区域，以及一系列用于表征该区域的几何描述符。我们以多头绒泡菌（Physarum polycephalum）对Cellects进行了验证，该样本因形态复杂且内部异质性强，检测难度颇高。本次验证涵盖五种不同背景与光照条件的实验场景，结果显示Cellects在所有场景下均具备极高精度……Github链接：https://github.com/Aurele-B/Cellects，# 数据来源：Cellects：一款用于量化细胞扩增与运动的软件 本自述文件包含Cellects软件的安装、使用方法，以及复现其相关论文成果的指南。由于复现论文成果仅需依赖名为CellectsPaper的Python项目，因此并非必须预先安装Cellects。 ## 内容 本仓库包含： 1. 对应三种不同Cellects安装方式的两个文件： * Cellects_installer.exe * Cellects.zip 2. 两个用于复现Cellects相关论文成果的压缩包： * Cellects_data.zip * CellectsPaper.zip 下一部分将介绍Cellects的安装与使用方法，最后一部分将说明如何复现论文成果。 ## 1. 安装与使用Cellects ### 1.1 安装 参考[此处](https://github.com/Aurele-B/Cellects)提供的自述文件，你可通过以下方式安装Cellects： * 下载并运行Cellects_installer.exe，或解压并使用Cellects.zip……