Lai-Tim Yann, Mugnier Laurent M, Krafft Léa, Chen Antoine, Petit Cyril, Mecê Pedro, Grieve Kate, Paques Michel, Meimon Serge
DOTA, ONERA, Université Paris-Saclay, 92320 Châtillon, France.
Centre d'Investigation Clinique 1423, Quinze-Vingts National Ophthalmology Hospital, DGOS, INSERM, Paris, France.
Biomed Opt Express. 2025 Jun 24;16(7):2923-2944. doi: 10.1364/BOE.559670. eCollection 2025 Jul 1.
Structured illumination microscopy (SIM) is one of the most versatile super-resolution techniques. Yet, its application to high-resolution live imaging has been mainly limited to fluorescent and stationary specimens. Here, we present advancements in SIM to jointly tackle all the challenges of imaging living samples, , obtaining super-resolution over an undistorted wide-field while dealing with sample motion, multiple scattering, sample-induced optical aberrations, and low signal-to-noise ratio. By using adaptive optics to compensate for optical aberrations and a reconstruction algorithm tailored for moving and thick tissue, we successfully apply SIM to retinal imaging and demonstrate structured illumination ophthalmoscopy with optical sectioning and resolution improvement for imaging of the human retina.
结构光照明显微镜(SIM)是用途最广泛的超分辨率技术之一。然而,它在高分辨率活细胞成像中的应用主要局限于荧光和静止样本。在此,我们展示了SIM技术的进展,以共同应对活细胞样本成像的所有挑战,即在处理样本运动、多重散射、样本引起的光学像差和低信噪比的同时,在无畸变宽视场下获得超分辨率。通过使用自适应光学技术来补偿光学像差,并采用针对运动和厚组织定制的重建算法,我们成功地将SIM应用于视网膜成像,并展示了具有光学切片功能和分辨率提高的结构光照明显微眼底镜检查,用于人类视网膜成像。