Wavelet-based tracking of bacteria in unreconstructed off-axis holograms

Methods. 2018 Mar 1:136:60-65. doi: 10.1016/j.ymeth.2017.09.003. Epub 2017 Sep 13.

Abstract

We propose an automated wavelet-based method of tracking particles in unreconstructed off-axis holograms to provide rough estimates of the presence of motion and particle trajectories in digital holographic microscopy (DHM) time series. The wavelet transform modulus maxima segmentation method is adapted and tailored to extract Airy-like diffraction disks, which represent bacteria, from DHM time series. In this exploratory analysis, the method shows potential for estimating bacterial tracks in low-particle-density time series, based on a preliminary analysis of both living and dead Serratia marcescens, and for rapidly providing a single-bit answer to whether a sample chamber contains living or dead microbes or is empty.

Keywords: Airy disks; Motility; Off-axis holograms; Particle tracking; WTMM method; Wavelet transform.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bacteria / isolation & purification*
  • Bacteria / ultrastructure
  • Cell Tracking / methods
  • Holography / methods*
  • Microscopy / methods*
  • Particle Size
  • Serratia marcescens / isolation & purification
  • Serratia marcescens / ultrastructure