Weinberg Gil, Sunray Elad, Katz Ori
Institute of Applied Physics, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
Sci Adv. 2024 Nov 22;10(47):eadl5218. doi: 10.1126/sciadv.adl5218. Epub 2024 Nov 20.
Optical-resolution fluorescence imaging through and within complex samples presents a major challenge due to random light scattering, with substantial implications across multiple fields. While considerable advancements in coherent imaging through severe multiple scattering have been recently introduced by reflection matrix processing, approaches that tackle scattering in incoherent fluorescence imaging have been limited to sparse targets, require high-resolution control of the illumination or detection wavefronts, or require a very large number of measurements. Here, we present an approach that allows the adaptation of well-established reflection matrix techniques to scattering compensation in incoherent fluorescence imaging. We experimentally demonstrate that a small number of conventional wide-field fluorescence microscope images acquired under unknown random illuminations can effectively be used to construct a virtual fluorescence-based reflection matrix. Processing this matrix by an adapted matrix-based scattering compensation algorithm allows reconstructing megapixel-scale images from <150 acquired frames, without any spatial light modulators or computationally intensive processing.
由于随机光散射,在复杂样品内部及透过复杂样品进行光学分辨率荧光成像面临重大挑战,这在多个领域都有重大影响。虽然最近通过反射矩阵处理在通过严重多次散射的相干成像方面取得了相当大的进展,但解决非相干荧光成像中散射问题的方法仅限于稀疏目标,需要对照明或检测波前进行高分辨率控制,或者需要大量测量。在此,我们提出一种方法,可将成熟的反射矩阵技术应用于非相干荧光成像中的散射补偿。我们通过实验证明,在未知随机照明下采集的少量传统宽场荧光显微镜图像可有效地用于构建基于虚拟荧光的反射矩阵。通过基于矩阵的自适应散射补偿算法处理该矩阵,可从不到150个采集帧重建百万像素级图像,无需任何空间光调制器或大量计算处理。