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A new method combining enhanced resolution and pattern identification

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Abstract

We present a simple and general-purpose method able to combine high-resolution procedure with the classification and identification of objects of interest from microscopy imaging. The method is composed of two stages. First (pattern recognition), promising components (possible objects of interest) in the image are detected and small regions containing the objects of interest are extracted using a feature finder. Second, high-resolution algorithms are applied to such identified components in order to approach a multiple scales of resolution. Although the method is indeed to be applied to any microscopy technique, in this paper, we have focused the attention on biological systems, like animal cells, recorded with an atomic force microscopy.

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Acknowledgments

The authors like to thank S. Danti for the preparation of hMCSs samples.

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Authors and Affiliations

  1. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche, ISTI-CNR, via Moruzzi, 1, 56124, Pisa, Italy

    Mario D’Acunto, Marco Righi & Ovidio Salvetti

  2. Istituto di Struttura della Materia, Consiglio Nazionale delle Ricerche, ISM-CNR, via Fosso del cavaliere, 100, 00133, Roma, Italy

    Mario D’Acunto

  3. NanoICT Laboratory, Area della Ricerca CNR, Pisa, Italy

    Mario D’Acunto, Marco Righi & Ovidio Salvetti

Authors
  1. Mario D’Acunto
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  2. Marco Righi
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  3. Ovidio Salvetti
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Correspondence to Mario D’Acunto.

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D’Acunto, M., Righi, M. & Salvetti, O. A new method combining enhanced resolution and pattern identification. SIViP 10, 1303–1310 (2016). https://doi.org/10.1007/s11760-016-0947-9

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  • DOI: https://doi.org/10.1007/s11760-016-0947-9

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