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计算光谱成像

近年来，拉曼光谱成像技术因其无标记、非侵入的分子指纹识别特性，在干细胞质量动态监控领域展现出独特价值。然而，该技术的临床应用仍面临多重挑战：1) 低信噪比导致弱代谢信号难以捕捉。2) 复杂样本谱峰相互重叠，光谱解混精度不足影响多组分定量分析。3) 成像速度与分辨率在三维动态监测中存在显著瓶颈。4) 自动化程度不足（如实时聚焦）制约高通量检测效率。传统方法依赖人工干预和经验调参，严重限制了该技术在再生医学中的规模化应用。

本课题组提出系统性解决方案，通过算法-硬件协同创新突破技术边界：

  • 构建多中心拉曼数据库融合平台，集成卷积神经网络与生成对抗网络，在保护隐私前提下实现小样本数据增强
  • 开发自监督光谱重构算法，利用未标注数据提升特征表达能力，降低对人工标注的依赖
  • 创新光谱解混架构DeepUnmix，结合物理模型与深度学习，对重叠峰解析精度达99%以上
  • 研发动态残差网络自适应聚焦算法，通过深度学习融合，实现微米级实时自动聚焦

已构建集成上述技术的智能拉曼工作站RamanAI-3D，在干细胞分化监控中实现：通过算法-光学-系统的深度融合，本研究为再生医学提供了新一代智能监控工具，并与多家生物制药企业建立产业转化合作，推动干细胞治疗产品的标准化质控体系发展。

代表性论文

  • Deep learning-based edge enhancement of interferenceless coded aperture correlation holography without point spread hologram,Optics Express(2025)

  • Artifact-free phase reconstruction for differential interference contrast microscopy based on deep learning,Optics Express(2025)

  • Unsupervised cross talk suppression for self-interference digital holography,Optics Letters(2025)

  • Dynamic 3D Fresnel incoherent correlation holography imaging based on single-shot mirrored phase-shifting technology,Optics Letters(2024)

  • Accelerating quad Airy beams-based point response for interferenceless coded aperture correlation holography,Optics Letters(2024)

  • Out-of-focus artifact removal for Fresnel incoherent correlation holography by deep learning,Optics and Lasers in Engineering(2024)

  • Single shot interferenceless coded aperture correlation holography via a learnable Wiener deconvolution network,Optics and Lasers in Engineering(2024)

  • Fresnel incoherent compressive holography toward 3D videography via dual-channel simultaneous phase-shifting interferometry,Optics Express(2024)

  • Unsupervised Deep Learning Enables 3D Imaging for Single‐Shot Incoherent Holography,Laser & Photonics Review(2024)

  • Optical 3D information encryption and rapid decryption via interferenceless coded aperture correlation holography,Optics & Laser Technology(2024)

  • Single-shot deep-learning based 3D imaging of Fresnel incoherent correlation holography,Optics and Lasers in Engineering(2024)