A morphological image processing method for locating myosin filaments in muscle electron micrographs

Bödvarsson, B.; Klim, Søren; Morkebjerg, Martin; Mortensen, Stig Bousgaard; Yoon, Chun Hong; Chen, J.; Maclaren, Julian; Luther, Pradeep K.; Squire, John M.; Bones, Philip J.; Millane, Rick P.

doi:10.1016/j.imavis.2007.11.008

Cited by 9 publications

(6 citation statements)

References 9 publications

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“…Prior to any image processing, phase-contrast or fluorescent gray-scale images used for segmentation were equalized to reduce background noise fluctuations. Cells were then automatically segmented by successive morphological operation involving h-dome extraction, gray-scale reconstruction [43] , [44] , binary images, and morphological opening. To optimize segmentation, binary frames were sometimes manually corrected with appropriate tools built into the software.…”

Section: Methodsmentioning

confidence: 99%

A Microscope Automated Fluidic System to Study Bacterial Processes in Real Time

et al. 2009

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Most time lapse microscopy experiments studying bacterial processes ie growth, progression through the cell cycle and motility have been performed on thin nutrient agar pads. An important limitation of this approach is that dynamic perturbations of the experimental conditions cannot be easily performed. In eukaryotic cell biology, fluidic approaches have been largely used to study the impact of rapid environmental perturbations on live cells and in real time. However, all these approaches are not easily applicable to bacterial cells because the substrata are in all cases specific and also because microfluidics nanotechnology requires a complex lithography for the study of micrometer sized bacterial cells. In fact, in many cases agar is the experimental solid substratum on which bacteria can move or even grow. For these reasons, we designed a novel hybrid micro fluidic device that combines a thin agar pad and a custom flow chamber. By studying several examples, we show that this system allows real time analysis of a broad array of biological processes such as growth, development and motility. Thus, the flow chamber system will be an essential tool to study any process that take place on an agar surface at the single cell level.

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Section: Methodsmentioning

confidence: 99%

A Microscope Automated Fluidic System to Study Bacterial Processes in Real Time

et al. 2009

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“…This is for instance the case with the separation of multiple crossing objects in image. Crossing objects appear in various fields of science like for instance vessel or muscle fibers crossing in biomedical imaging [4,8,2], crossings roads in remote sensing [9], or assemblies of crossing nano-objects with microscopes in physics [3]. The restoration of each object in such images of crossing objects is an important problem if one is interested in performing individual measurements on each object.…”

Section: Locally Oriented Anisotropic Diffusionmentioning

confidence: 99%

Locally Oriented Anisotropic Image Diffusion: Application to Phenotyping of Seedlings

Benoit

Rousseau

Belin

et al. 2013

Proceedings of GEODIFF 2013

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A variant of the Perona-Malik anisotropic diffusion equation is introduced for the segmentation of multiple objects with crossings. The diffusion is automatically applied at the crossings locations along the main orientations of the objects. Application of this process is given for illustration on an original problem of plant imaging with the monitoring of the elongation of multiple crossing seedlings.

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“…We have previously described an algorithm that uses grayscale morphology to determine the filament locations [11], [14]. This algorithm uses -dome extraction [15] coupled with a neighbor analysis and use of lattice symmetry to optimize the threshold value, followed by further processing to correct erroneous locations.…”

Section: Location Of the Filamentsmentioning

confidence: 99%

Determination of Myosin Filament Orientations in Electron Micrographs of Muscle Cross Sections

Yoon

Bödvarsson²,

Klim

et al. 2009

IEEE Trans. on Image Process.

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Abstract-An automated image analysis system for determining myosin filament azimuthal rotations, or orientations, in electron micrographs of muscle cross sections is described. The micrographs of thin sections intersect the myosin filaments which lie on a triangular lattice. The myosin filament profiles are variable and noisy, and the images exhibit a variable contrast and background. Filament positions are determined by filtering with a point spread function that incorporates the local symmetry of the lattice. Filament orientations are determined by correlation with a template that incorporates the salient filament characteristics, and the orientations are classified using a Gaussian mixture model. The precision of the technique is assessed by application to a variety of micrographs and comparison with manual classification of the orientations. The system provides a convenient, robust, and rapid means of analysing micrographs containing many filaments to study the distribution of filament orientations.

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A morphological image processing method for locating myosin filaments in muscle electron micrographs

Cited by 9 publications

References 9 publications

A Microscope Automated Fluidic System to Study Bacterial Processes in Real Time

A Microscope Automated Fluidic System to Study Bacterial Processes in Real Time

Locally Oriented Anisotropic Image Diffusion: Application to Phenotyping of Seedlings

Determination of Myosin Filament Orientations in Electron Micrographs of Muscle Cross Sections

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