Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Toward a Thinking Microscope: Deep Learning in Optical Microscopy and
  Image Reconstruction   We discuss recently emerging applications of the state-of-art deep learning
methods on optical microscopy and microscopic image reconstruction, which
enable new transformations among different modes and modalities of microscopic
imaging, driven entirely by image data. We believe that deep learning will
fundamentally change both the hardware and image reconstruction methods used in
optical microscopy in a holistic manner.

11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph