Towards dense motion estimation in light and electron microscopy

Luis Pizarro, José Delpiano, Paul Aljabar, Javier Ruiz-Del-Solar, Daniel Rueckert

Research output: Contribution to conferencePaper

8 Scopus citations


Motion estimation, also known as optic flow, refers to the process of determining a 2D displacement field that aligns two images. Most methods that estimate motion or deformation fields in biological image sequences rely on sparse, distinct features (landmarks). Going a step forward, we are interested in methods to compute dense deformation fields (for all pixels). In this paper we compare two of such frameworks: the B-splines based free-form deformation (FFD) approach, which is well-known in medical image registration; and the combined local-global (CLG) approach, a popular optic flow method in computer vision. We test both methods on synthetic and real image sequences obtained by confocal light microscopy and by scanning electron microscopy, showing their performance in terms of accuracy and computational cost. As an alternative to traditional sparse techniques, the estimation of dense motion fields would allow tackling other related problems with sub-pixel precision, for example, the segmentation and classification of different biological structures according to their local motion, trajectory, growth and development.
Original languageAmerican English
Number of pages4
StatePublished - 2 Nov 2011
Externally publishedYes
EventProceedings - International Symposium on Biomedical Imaging -
Duration: 2 Nov 2011 → …


ConferenceProceedings - International Symposium on Biomedical Imaging
Period2/11/11 → …


  • deformation field
  • electron microscopy
  • light microscopy
  • Motion estimation
  • optic flow

Fingerprint Dive into the research topics of 'Towards dense motion estimation in light and electron microscopy'. Together they form a unique fingerprint.

Cite this