Opt Express. 2023 Feb 27;31(5):7505-7514. doi: 10.1364/OE.478314.
High-resolution microscopy of deep tissue with large field-of-view (FOV) is critical for elucidating organization of cellular structures in plant biology. Microscopy with an implanted probe offers an effective solution. However, there exists a fundamental trade-off between the FOV and probe diameter arising from aberrations inherent in conventional imaging optics (typically, FOV < 30% of diameter). Here, we demonstrate the use of microfabricated non-imaging probes (optrodes) that when combined with a trained machine-learning algorithm is able to achieve FOV of 1x to 5x the probe diameter. Further increase in FOV is achieved by using multiple optrodes in parallel. With a 1 × 2 optrode array, we demonstrate imaging of fluorescent beads (including 30 FPS video), stained plant stem sections and stained living stems. Our demonstration lays the foundation for fast, high-resolution microscopy with large FOV in deep tissue via microfabricated non-imaging probes and advanced machine learning.
高分辨率显微镜观察深层组织并获得大视场（FOV）对于阐明植物生物学中细胞结构的组织至关重要。植入探头的显微镜提供了有效的解决方案。然而，由于传统成像光学固有的像差，FOV 和探头直径之间存在基本的权衡（通常，FOV <直径的 30%）。在这里，我们展示了使用微加工的非成像探头（optrodes）的情况，当与经过训练的机器学习算法结合使用时，能够实现 1x 到 5x 探头直径的 FOV。通过并行使用多个 optrodes 可以进一步增加 FOV。使用 1x2 optrode 阵列，我们演示了荧光珠（包括 30 FPS 视频）、染色植物茎段和染色活茎的成像。我们的演示为通过微加工的非成像探头和先进的机器学习在深层组织中实现快速、高分辨率的大视场显微镜奠定了基础。
