ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2013
Signal processing for molecular and cellular biological physics: an emerging field.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Erroneous detection of desensitization doses in the prevention of hypersensitivity reactions.BMC research notes · 2023Article
- PLANT: A Method for Detecting Changes of Slope in Noisy Trajectories.Biophysical journal · 2018Article
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- Article
- An information-based approach to change-point analysis with applications to biophysics and cell biology.Biophysical journal · 2015Article
- Inference for the physical sciences.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2013Article
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2 authors.
Funding
Abstract
Recent advances in our ability to watch the molecular and cellular processes of life in action--such as atomic force microscopy, optical tweezers and Forster fluorescence resonance energy transfer--raise challenges for digital signal processing (DSP) of the resulting experimental data. This article explores the unique properties of such biophysical time series that set them apart from other signals, such as the prevalence of abrupt jumps and steps, multi-modal distributions and autocorrelated noise. It exposes the problems with classical linear DSP algorithms applied to this kind of data, and describes new nonlinear and non-Gaussian algorithms that are able to extract information that is of direct relevance to biological physicists. It is argued that these new methods applied in this context typify the nascent field of biophysical DSP. Practical experimental examples are supplied.
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