Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Single-frame label-free cell tomography at speed of more than 10,000
  volumes per second   Three-dimensional (3D) image cytometers may significantly improve the cell
analysis accuracy to facilitate biological discoveries and clinical diagnosis,
but their development is curbed by the low imaging throughput. Here we report
SIngle-frame LAbel-free Cell Tomography (SILACT) with diffraction-limited
resolution and unprecedented imaging speed of over 10,000 volumes/second.
SILACT is built on a unique interferometric microscope with angle-multiplexing
illumination and a pre-trained physics-incorporating Deep Neural Network for
efficient 3D Refractive Index (RI) reconstruction, from which 3D morphological
and biophysical parameters of cells are extracted. With microfluidics and a
high-speed camera, SILACT is capable of imaging over 20,000 cells/second and
distinguishing different cell species during rapid measurements of large cell
quantities, as well as visualizing shear-induced 3D transient deformation of
red blood cells on a sub-millisecond scale.

2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
16
The categories of this paper are: stat
0
The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph