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Proceedings Paper

Shaping field for deep tissue microscopy
Author(s): J. Colon; H. Lim
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Paper 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.

Paper Details

Date Published: 22 May 2015
PDF: 6 pages
Proc. SPIE 9495, Three-Dimensional Imaging, Visualization, and Display 2015, 94950G (22 May 2015); doi: 10.1117/12.2176883
Show Author Affiliations
J. Colon, Hunter College (United States)
Graduate Ctr. of the City Univ. of New York (United States)
H. Lim, Hunter College (United States)
Graduate Ctr. of the City Univ. of New York (United States)


Published in SPIE Proceedings Vol. 9495:
Three-Dimensional Imaging, Visualization, and Display 2015
Bahram Javidi; Jung-Young Son, Editor(s)

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