Matthew B. Smith
Lehigh University
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Publication
Featured researches published by Matthew B. Smith.
Cytoskeleton | 2010
Matthew B. Smith; Hongsheng Li; Tian Shen; Xiaolei Huang; Eddy Yusuf; Dimitrios Vavylonis
We use open active contours to quantify cytoskeletal structures imaged by fluorescence microscopy in two and three dimensions. We developed an interactive software tool for segmentation, tracking, and visualization of individual fibers. Open active contours are parametric curves that deform to minimize the sum of an external energy derived from the image and an internal bending and stretching energy. The external energy generates (i) forces that attract the contour toward the central bright line of a filament in the image, and (ii) forces that stretch the active contour toward the ends of bright ridges. Images of simulated semiflexible polymers with known bending and torsional rigidity are analyzed to validate the method. We apply our methods to quantify the conformations and dynamics of actin in two examples: actin filaments imaged by TIRF microscopy in vitro, and actin cables in fission yeast imaged by spinning disk confocal microscopy.
international symposium on biomedical imaging | 2009
Hongsheng Li; Tian Shen; Matthew B. Smith; Ikuko Fujiwara; Dimitrios Vavylonis; Xiaolei Huang
This paper presents an automated method for actin filament segmentation and tracking for measuring tip elongation rates in Total Internal Reflection Fluorescence Microscopy (TIRFM) images. The main contributions of the paper are: (i) we use a novel open active contour model for filament segmentation and tracking, which is fast and robust against noise; and (ii) different strategies are proposed to solve the filament intersection problem, which is shown to be the main difficulty in filament tracking. Application to experimental results demonstrated the robustness and effectiveness of this method.
Biophysical Journal | 2013
Matthew B. Smith; Tai Kiuchi; Dimitrios Vavylonis
Studies of actin dynamics at the leading edge of motile cells with single-molecule speckle (SiMS) microscopy have shown a broad distribution of EGFP-actin speckle lifetimes and indicated actin polymerization and depolymerization over an extended region. Other experiments using FRAP with the same EGFP-actin as a probe have suggested, by contrast, that polymerization occurs exclusively at the leading edge. We performed FRAP experiments on XTC cells to compare SiMS to FRAP on the same cell type. We used speckle statistics obtained by SiMS to model the steady-state distribution and kinetics of actin in the lamellipodium. We demonstrate that a model with a single diffuse actin species is in good agreement with FRAP experiments. A model including two species of diffuse actin provides an even better agreement. The second species consists of slowly diffusing oligomers that associate to the F-actin network throughout the lamellipodium or break up into monomers after a characteristic time. Our work motivates studies to test the presence and composition of slowly diffusing actin species that may contribute to local remodeling of the actin network and increase the amount of soluble actin.
Molecular Biology of the Cell | 2014
Sawako Yamashiro; Hiroaki Mizuno; Matthew B. Smith; Gillian L. Ryan; Tai Kiuchi; Dimitrios Vavylonis
This paper introduces a new, easy-to-use method of fluorescence single-molecule speckle microscopy for actin with nanometer-scale accuracy. This new method reveals that actin flows in front of mature focal adhesions (FAs) are fast and biased toward FAs, suggesting that mature FAs are actively engaged in pulling and remodeling the local actin network.
Biophysical Journal | 2011
Matthew B. Smith; Hongsheng Li; Tian Shen; Xiaolei Huang; Eddy Yusuf; Dimitrios Vavylonis
We developed an interactive software tool to quantify cytoskeletal filaments imaged by fluorescence microscopy in two and three dimensions. Our software allows users to visualize and record the position of filaments by implementing a robust algorithm in conjunction with user interaction. We use open active contours for segmentation and tracking of individual fibers. Open active contours are parametric curves that deform to minimize the sum of an external energy derived from the image and an internal bending and stretching energy. The external energy generates (i) forces that attract the contour towards the central bright line of a filament in the image, and (ii) forces that stretch the active contour towards the ends of bright ridges. Images of simulated semiflexible polymers with known bending and torsional rigidity are analyzed to validate the method. Analysis of simulated filaments illustrated the advantages and inherent limitations in representing filaments as a discrete series of points. We apply our methods to quantify the conformations of actin in two examples. We calculated the persistence length of actin filaments imaged by TIRF microscopy in vitro, and we segmented actin cables in fission yeast imaged by spinning disk confocal microscopy.
Biophysical Journal | 2011
Matthew B. Smith; Erdem Karatekin; Andrea Gohlke; Hiroaki Mizuno; Dimitrios Vavylonis
Archive | 2009
Matthew B. Smith; Dimitrios Vavylonis
Bulletin of the American Physical Society | 2013
Laura M. McMillen; Matthew B. Smith; Dimitrios Vavylonis
Biophysical Journal | 2013
Laura M. McMillen; Matthew B. Smith; Dimitrios Vavylonis
Biophysical Journal | 2011
Gillian L. Ryan; Matthew B. Smith; Heather Petroccia; Dimitrios Vavylonis