Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Neuron detection in stack images: a persistent homology interpretation   Automation and reliability are the two main requirements when computers are
applied in Life Sciences. In this paper we report on an application to neuron
recognition, an important step in our long-term project of providing software
systems to the study of neural morphology and functionality from biomedical
images. Our algorithms have been implemented in an ImageJ plugin called
NeuronPersistentJ, which has been validated experimentally. The soundness and
reliability of our approach are based on the interpretation of our processing
methods with respect to persistent homology, a well-known tool in computational
mathematics.

2
The categories of this paper are: math
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph