Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Light scattering control in transmission and reflection with neural
  networks   Scattering often limits the controlled delivery of light in applications such
as biomedical imaging, optogenetics, optical trapping, and fiber-optic
communication or imaging. Such scattering can be controlled by appropriately
shaping the light wavefront entering the material. Here, we demonstrate a
machine-learning approach for light control. Using pairs of binary intensity
patterns and intensity measurements we train neural networks (NNs) to provide
the wavefront corrections necessary to shape the beam after the scatterer.
Additionally, we demonstrate that NNs can be used to find a functional
relationship between transmitted and reflected speckle patterns. As a proof of
the validity of this relationship, we demonstrate focusing and scanning of
light in transmission through opaque media using reflected light. Our approach
demonstrates the versatility of NNs for light shaping and for efficiently and
flexibly correcting for scattering. In particular, the feasibility of
transmission control based on reflected light opens up new opportunities for
applications in optical imaging, sensing, and light delivery.

32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
10
The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
6
The categories of this paper are: astro-ph