[论文解读] Wide-field high-resolution microscopy via high-speed galvo scanning and real-time mosaicking

Ziyi Huang, Rosalinda Xiong+3 more|arXiv (Cornell University)|Feb 2, 2026

Cell Image Analysis Techniques被引用 0

一句话总结

简要结论：提出一种用于宽场显微镜的拼接框架，支持线性和正弦型伽伐扫描，实现高达 2.5 cm x 2.5 cm 的视场，数据集约需约 6 秒，同时保持 7.81 μm 分辨率。

ABSTRACT

Wide-field high-resolution microscopy requires fast scanning and accurate image mosaicking to cover large fields of view without compromising image quality. However, conventional galvanometric scanning, particularly under sinusoidal driving, can introduce nonuniform spatial sampling, leading to geometric inconsistencies and brightness variations across the scanned field. To address these challenges, we present an image mosaicking framework for wide-field microscopic imaging that is applicable to both linear and sinusoidal galvanometric scanning strategies. The proposed approach combines a translation-based geometric mosaicking model with region-of-interest (ROI) based brightness correction and seam-aware feathering to improve radiometric consistency across large fields of view. The method relies on calibrated scan parameters and synchronized scan--camera control, without requiring image-content-based registration. Using the proposed framework, wide-field mosaicked images were successfully reconstructed under both linear and sinusoidal scanning strategies, achieving a field of view of up to $2.5 imes 2.5~\mathrm{cm}^2$ with a total acquisition time of approximately $6~\mathrm{s}$ per dataset. Quantitative evaluation shows that both scanning strategies demonstrate improved image quality, including enhanced brightness uniformity, increased contrast-to-noise ratio (CNR), and reduced seam-related artifacts after image processing, while preserving a lateral resolution of $7.81~μ\mathrm{m}$. Overall, the presented framework provides a practical and efficient solution for scan-based wide-field microscopic mosaicking.

研究动机与目标

• 开发一种适用于线性与正弦型伽伐扫描的宽场显微成像拼接框架。
• 通过基于平移的几何、ROI 亮度校正和缝隙感知的羽化实现对大视场的辐照一致性和高图像质量。
• 通过使用经过校准的扫描参数和同步的硬件控制，避免依赖基于图像内容的配准。
• 在保留横向分辨率并提高对大视场的信噪比比对下，展示实用的宽场拼接。

提出的方法

• 将基于平移的几何拼接模型与 ROI 基本亮度校正相结合。
• 应用缝隙感知羽化以最小化缝隙和亮度非均匀性。
• 在不依赖内容的配准的情况下，标定扫描参数并同步扫描-相机控制。
• 在线性和正弦伽伐扫描策略下验证拼接。
• 报告拼接后的视场高达 2.5 × 2.5 cm^2，数据集约约 6 s，横向分辨率为 7.81 μm。

实验结果

研究问题

• RQ1 翻译基于平移的拼接模型加亮度校正是否能够实现线性与正弦伽伐扫描皆适用的高质量拼接？
• RQ2 ROI 基亮度校正与缝隙感知羽化是否提升辐照均匀性并减少宽场拼接中的缝隙伪影？
• RQ3 在保持横向分辨率的同时，扫描型宽场显微在视场大小与获取时间上可达到何种水平？
• RQ4 同步扫描参数与相机控制是否足以在拼接中避免基于内容的图像注册？

主要发现

• 该框架在线性与正弦扫描下均可实现宽场拼接。
• 实现视场高达 2.5 × 2.5 cm^2，数据集约约 6 s。
• 处理后亮度均匀性改善，缝隙伪影减少。
• 相比非拼接或结构较弱的拼接方法，对比度-信噪比（CNR）提升。
• 在拼接图像中横向分辨率保持为 7.81 μm。