Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Probabilistic Nearest Neighbor Estimation of Diffusion Constants from
  Single Molecular Measurement without Explicit Tracking   Time course measurement of single molecules on a cell surface provides
detailed information on the dynamics of the molecules, which is otherwise
inaccessible. To extract the quantitative information, single particle tracking
(SPT) is typically performed. However, trajectories extracted by SPT inevitably
have linking errors when the diffusion speed of single molecules is high
compared to the scale of the particle density. To circumvent this problem we
developed an algorithm to estimate diffusion constants without relying on SPT.
We demonstrated that the proposed algorithm provides reasonable estimation of
diffusion constants even when other methods fail due to high particle density
or inhomogeneous particle distribution. In addition, our algorithm can be used
for visualization of time course data from single molecular measurements.

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The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
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The categories of this paper are: funct-an
37
The categories of this paper are: supr-con
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The categories of this paper are: adap-org
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The categories of this paper are: econ
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The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
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The categories of this paper are: solv-int
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The categories of this paper are: hep-th
33
The categories of this paper are: plasm-ph