MOAProfiler_IN_MOA: Preprocessed Cell Painting MOA plate (images and manifest.csv) for MOAProfiler_Feature_Extractor

Summary

MOAProfiler_IN_MOA is a preprocessed Cell Painting dataset built from a single MOA plate and prepared specifically for running the MOAProfiler_Feature_Extractor model in an embedding-only regime. The dataset contains five-channel Cell Painting images transformed into the input format required by the MOAProfiler embedding scripts, together with a manifest file (manifest.csv) that links each image to well, site, channel, and perturbation metadata.

This dataset corresponds to the same experimental plate as the CellPaintSSL_IN_MOA dataset, but uses a preprocessing and manifest format tailored to MOAProfiler_Feature_Extractor rather than CellPaintSSL.

Contents

images/ – preprocessed single-plane 16-bit TIFF images (five fluorescence channels, 1080×1080 px), organised by plate, well, and site in the format expected by MOAProfiler_Feature_Extractor (one TIFF per channel and field of view, e.g. ch1.tif … ch5.tif).

manifest.csv – manifest linking each image to plate, well, site, channel and file paths, used by the MOAProfiler_Feature_Extractor code to locate input files and assemble per-field five-channel stacks.

How the data were generated

Raw Cell Painting images from the MOA plate were acquired as separate 16-bit TIFF files per channel using a high-content screening system. Illumination correction was performed and the fields of view were then cropped and padded to a standardized size of 1080×1080 pixels, matching the expected input of the MOAProfiler embedding pipeline. For each field of view and channel, the corrected images were saved as 16-bit TIFF files with a consistent naming scheme (ch1.tif … ch5.tif) and organised into the images/ directory by plate, well, and site.

The manifest.csv file was generated from the plate map and image metadata and contains, for every channel and site, the relative path to the corresponding TIFF together with plate, well, site and perturbation annotations. The resulting MOAProfiler_IN_MOA dataset therefore consists of five separate 16-bit TIFF images per field of view (one per channel) and a manifest that enables direct use with the MOAProfiler_Feature_Extractor embedding scripts.

摘要
MOAProfiler_IN_MOA是一款经预处理的细胞绘画（Cell Painting）数据集，源自单块作用机制（MOA）板，专为仅嵌入模式下运行MOAProfiler_Feature_Extractor模型而构建。该数据集包含转换为MOAProfiler嵌入脚本所需输入格式的五通道细胞绘画图像，以及一份清单文件（manifest.csv），可将每张图像与孔、视野、通道及扰动元数据相关联。
本数据集与CellPaintSSL_IN_MOA数据集源自同一块实验板，但采用专为MOAProfiler_Feature_Extractor定制的预处理与清单格式，而非适配CellPaintSSL的格式。

## 内容说明
images/ 目录：存放经预处理的单帧16位TIFF图像（包含5个荧光通道，分辨率为1080×1080像素），按实验板、孔及视野进行组织，符合MOAProfiler_Feature_Extractor的预期输入格式（每个视野的每个通道对应一张TIFF文件，例如ch1.tif至ch5.tif）。

manifest.csv 文件：用于将每张图像与实验板、孔、视野、通道及文件路径关联的清单，供MOAProfiler_Feature_Extractor代码定位输入文件并组装每个视野的五通道图像栈。

## 数据生成方式
使用高内涵筛选系统采集自MOA板的原始细胞绘画图像，按通道保存为独立的16位TIFF文件。随后对图像执行光照校正，并将各视野裁剪并填充至1080×1080像素的标准尺寸，以匹配MOAProfiler嵌入流程的预期输入。针对每个视野与通道，校正后的图像将以统一命名规则（如ch1.tif至ch5.tif）保存为16位TIFF文件，并按实验板、孔及视野组织至images/目录中。

manifest.csv 文件源自板布局图与图像元数据，其中包含每个通道与视野对应TIFF文件的相对路径，以及实验板、孔、视野与扰动注释信息。最终生成的MOAProfiler_IN_MOA数据集包含每个视野对应的5张独立16位TIFF图像（每个通道一张），以及可直接用于MOAProfiler_Feature_Extractor嵌入脚本的清单文件。