Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Short Review: Pathology of the image big data era using electron
  microscopy   The human body is mysterious, consisting of innumerable fine and complex
structures and a vast amount of information. The field of modern pathology has
been systematized around the findings and observations obtained from light
microscopy. However, such observations in the visible light range are limited
to those at the cellular level; thus, observations of cellular ultrastructures
are difficult. Therefore, only vague information can be collected. Various
imaging methodologies and tissue staining techniques have been created to
further understand the complexity of biological tissues. Using such approaches,
it has been realized that cellular morphology data that comprehensively acquire
biological tissue information can be treated as new omics information, termed
the 'Totalities of body tissue morphology (morphome)'. In addition, it is also
possible to revisit vague morphological information quantitatively and
objectively using knowledge relating to the latest scientific information.
Currently, new technologies are allowing additional frontiers to be opened.
Indeed, I believe that a new revolution is about to take place regarding the
'viewing' of tissues by innovative imaging technologies such as 'wide-area
electron microscopy (EM)', which can observe a wide area of several millimeters
or more with nano-level resolution. Moreover, with the advent of cutting-edge
information technology, I expect big data processing to be more innovative.
Through the incorporation of these new methodologies, the field of pathology is
expected to deepen through the identification of previously unknown structures,
the quantification of infrequent rare events, the new reclassification of
diseases, and the automatic diagnosis of diseases. In this review, I introduce
the innovation of the EM imaging and discuss the field of pathology with regard
to the big data era.

25
The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
14
The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph