期刊
METHODS
卷 136, 期 -, 页码 60-65出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymeth.2017.09.003
关键词
Wavelet transform; WTMM method; Airy disks; Particle tracking; Motility; Off-axis holograms
资金
- University of Maine (Chase Distinguished Research Assistantship)
- NVIDIA Corporation
- Gordon and Betty Moore Foundation [4037, 4038]
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. (C) 2017 Elsevier Inc. All rights reserved.
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