Minimal dataset for "Cellular-resolution OCT reveals layer-specific retinal mosaics and ganglion cell degeneration in mouse retina in vivo"

This dataset provides the minimal data underlying the findings of the manuscript submitted to Neurophotonics:Cellular-resolution OCT reveals layer-specific retinal mosaics and ganglion cell degeneration in mouse retina in vivo. Contents include: - Data_Summary.xlsx: raw numerical values supporting Figures (image quality metrics, speckle contrast, SSIM, cross-correlation, RGC soma counts, GCC thickness). - Figures folder: original figure panels in TIFF format and a supplementary movie (MPEG). - Images folder: representative OCT images, raw and averaged OCT volumes, layer-optimized mosaics, longitudinal ONC datasets, and corresponding immunohistochemistry images. Code availability: multi-volume registration and averaging pipeline available at https://github.com/unblindness/oct_alignment本数据集为提交至《神经光子学（Neurophotonics）》的论文《细胞分辨率光学相干断层扫描（Optical Coherence Tomography, OCT）在体揭示小鼠视网膜层特异性镶嵌模式与神经节细胞变性》的研究发现提供核心原始支撑数据。数据集内容如下： - Data_Summary.xlsx：支撑论文各配图的原始数值数据，涵盖图像质量指标、散斑对比度、结构相似性指数（SSIM）、互相关系数、视网膜神经节细胞（Retinal Ganglion Cell, RGC）体细胞计数、神经节细胞复合体（Ganglion Cell Complex, GCC）厚度等。 - Figures文件夹：内含TIFF格式的原始图版及补充视频（MPEG格式）。 - Images文件夹：包含代表性OCT图像、原始与平均化OCT体积数据、层优化镶嵌图像、纵向视神经钳伤（Optic Nerve Crush, ONC）数据集，以及对应的免疫组织化学图像。 代码获取说明：多体积配准与平均流程可通过以下链接获取：https://github.com/unblindness/oct_alignment