Automated detection of fluorescent cells in in-resin fluorescence sections for integrated light and electron microscopy

J. Delpiano, L. Pizarro, C. J. Peddie, M. L. Jones, L. D. Griffin, L. M. Collinson

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Journal of Microscopy published by JohnWiley & Sons Ltd on behalf of Royal Microscopical Society. Integrated array tomography combines fluorescence and electron imaging of ultrathin sections in one microscope, and enables accurate high-resolution correlation of fluorescent proteins to cell organelles and membranes. Large numbers of serial sections can be imaged sequentially to produce aligned volumes from both imaging modalities, thus producing enormous amounts of data that must be handled and processed using novel techniques. Here, we present a scheme for automated detection of fluorescent cells within thin resin sections, which could then be used to drive automated electron image acquisition from target regions via ‘smart tracking’. The aim of this work is to aid in optimization of the data acquisition process through automation, freeing the operator to work on other tasks and speeding up the process, while reducing data rates by only acquiring images from regions of interest. This new method is shown to be robust against noise and able to deal with regions of low fluorescence.
Original languageAmerican English
Pages (from-to)109-119
Number of pages11
JournalJournal of Microscopy
Volume271
Issue number1
DOIs
StatePublished - 1 Jul 2018

Keywords

  • Cell segmentation
  • correlative light and electron microscopy
  • image processing
  • in-resin fluorescence
  • integrated light and electron microscopy
  • watershed algorithm

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