Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 3D Computational Cannula Fluorescence Microscopy enabled by Artificial
  Neural Networks   Computational Cannula Microscopy (CCM) is a high-resolution widefield
fluorescence imaging approach deep inside tissue, which is minimally invasive.
Rather than using conventional lenses, a surgical cannula acts as a lightpipe
for both excitation and fluorescence emission, where computational methods are
used for image visualization. Here, we enhance CCM with artificial neural
networks to enable 3D imaging of cultured neurons and fluorescent beads, the
latter inside a volumetric phantom. We experimentally demonstrate transverse
resolution of ~6um, field of view ~200um and axial sectioning of ~50um for
depths down to ~700um, all achieved with computation time of ~3ms/frame on a
laptop computer.

9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
1
The categories of this paper are: cs
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con