Paper
22 May 2015 Shaping field for deep tissue microscopy
J. Colon, H. Lim
Author Affiliations +
Abstract
Information capacity of a lossless image-forming system is a conserved property determined by two imaging parameters – the resolution and the field of view (FOV). Adaptive optics improves the former by manipulating the phase, or wavefront, in the pupil plane. Here we describe a homologous approach, namely adaptive field microscopy, which aims to enhance the FOV by controlling the phase, or defocus, in the focal plane. In deep tissue imaging, the useful FOV can be severely limited if the region of interest is buried in a thick sample and not perpendicular to the optic axis. One must acquire many z-scans and reconstruct by post-processing, which exposes tissue to excessive radiation and is also time consuming. We demonstrate the effective FOV can be substantially enhanced by dynamic control of the image plane. Specifically, the tilt of the image plane is continuously adjusted in situ to match the oblique orientation of the sample plane within tissue. The utility of adaptive field microscopy is tested for imaging tissue with non-planar morphology. Ocular tissue of small animals was imaged by two-photon excited fluorescence. Our results show that adaptive field microscopy can utilize the full FOV. The freedom to adjust the image plane to account for the geometrical variations of sample could be extremely useful for 3D biological imaging. Furthermore, it could facilitate rapid surveillance of cellular features within deep tissue while avoiding photo damages, making it suitable for in vivo imaging.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Colon and H. Lim "Shaping field for deep tissue microscopy", Proc. SPIE 9495, Three-Dimensional Imaging, Visualization, and Display 2015, 94950G (22 May 2015); https://doi.org/10.1117/12.2176883
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KEYWORDS
Microscopy

Tissues

Mirrors

Visualization

Deep tissue imaging

3D image processing

Imaging systems

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