Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Geometric Solution of Image Degradation by Diffraction in Lensless
  Sensing and Microscopy   This paper proposes a non-computational method of counteracting the effect of
image degradation introduced by the diffraction phenomenon in lensless
microscopy. All the optical images (whether focused by lenses or not) are
diffraction patterns, which preserve the visual information upto a certain
extent determined by the size of the point spread functions, like airy disks in
some cases. A highly diverging beam can be exploited to reduce the spatial
extent of these point spread functions relatively in the transformed projective
space, which can help us in the spatial unmixing of the visual information. The
principle has been experimentally validated by the lensless imaging of red
blood cells of diameter ~6-9 micrometers and a photolithography mask with
features in micrometer scale. The important advantages of the proposed approach
of non-computational shadow microscopy are the improved depth of field and a
drastic increase in the sensor to sample working distance. The imaging method
can also be used as a projection technique in the multi-angle optical computed
tomography (CT).

1
The categories of this paper are: cs
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph