Deep learning-based fast multispectral Fourier ptychographic microscopy

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology Pub Date : 2025-07-04 DOI:10.1016/j.optlastec.2025.113464

Jiurun Chen , Fengze Sui , Muyao Chen , Yang Xu , Qiang Huang , Yanqi Chen , Fannuo Xu , Zhen Song , Yonghong He

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引用次数: 0

Abstract

Multispectral imaging and Fourier ptychographic microscopy (FPM) provide enhanced spectral information for biomedical and computational imaging, but conventional systems are limited by high acquisition time and hardware complexity. We propose a fast multispectral FPM (FMSFPM) framework that integrates our prior generalized Color-transfer-based FPM (gCFPM) [Adv. Photon. Nexus 4,026,001 (2025)] with an attention-enhanced U-Net to reconstruct high-resolution multispectral images (MSI) from RGB inputs. This deep learning approach effectively captures spectral-spatial features and extends spectral channels without additional acquisition requirements. Experimental results on the public CAVE dataset and a self-collected microscopic dataset of locust muscle sections demonstrate that FMSFPM achieves superior reconstruction quality while significantly reducing processing time. The method offers a compact and scalable solution for high-throughput multispectral imaging in biomedical and optical applications.

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基于深度学习的快速多光谱傅立叶显微术

多光谱成像和傅立叶显微成像（FPM）为生物医学和计算成像提供了增强的光谱信息，但传统的系统受到高采集时间和硬件复杂性的限制。我们提出了一个快速多光谱FPM （FMSFPM）框架，该框架集成了我们之前的广义基于颜色转移的FPM (gCFPM) [adva . Photon]。Nexus 4,026,001(2025)]使用注意力增强的U-Net从RGB输入重建高分辨率多光谱图像（MSI）。这种深度学习方法有效地捕获光谱空间特征并扩展光谱通道，而无需额外的获取要求。在公开的CAVE数据集和自采集的蝗虫肌肉切片显微数据集上的实验结果表明，FMSFPM在显著缩短处理时间的同时获得了较好的重建质量。该方法为生物医学和光学应用中的高通量多光谱成像提供了紧凑和可扩展的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Optics and Laser Technology 物理-光学

CiteScore

8.50

自引率

10.00%

发文量

1060

审稿时长

3.4 months

期刊介绍： Optics & Laser Technology aims to provide a vehicle for the publication of a broad range of high quality research and review papers in those fields of scientific and engineering research appertaining to the development and application of the technology of optics and lasers. Papers describing original work in these areas are submitted to rigorous refereeing prior to acceptance for publication. The scope of Optics & Laser Technology encompasses, but is not restricted to, the following areas: •development in all types of lasers •developments in optoelectronic devices and photonics •developments in new photonics and optical concepts •developments in conventional optics, optical instruments and components •techniques of optical metrology, including interferometry and optical fibre sensors •LIDAR and other non-contact optical measurement techniques, including optical methods in heat and fluid flow •applications of lasers to materials processing, optical NDT display (including holography) and optical communication •research and development in the field of laser safety including studies of hazards resulting from the applications of lasers (laser safety, hazards of laser fume) •developments in optical computing and optical information processing •developments in new optical materials •developments in new optical characterization methods and techniques •developments in quantum optics •developments in light assisted micro and nanofabrication methods and techniques •developments in nanophotonics and biophotonics •developments in imaging processing and systems