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1.
Sci Rep ; 5: 12457, 2015 Jul 24.
Article in English | MEDLINE | ID: mdl-26208256

ABSTRACT

We introduce Map3-2D, a freely available software to accurately project up to five-dimensional (5D) fluorescence microscopy image data onto full-content 2D maps. Similar to the Earth's projection onto cartographic maps, Map3-2D unfolds surface information from a stack of images onto a single, structurally connected map. We demonstrate its applicability for visualization and quantitative analyses of spherical and uneven surfaces in fixed and dynamic live samples by using mammalian and yeast cells, and giant unilamellar vesicles. Map3-2D software is available at http://www.zmbh.uni-heidelberg.de//Central_Services/Imaging_Facility/Map3-2D.html.

2.
Biofouling ; 30(9): 1055-65, 2014 Oct.
Article in English | MEDLINE | ID: mdl-25334041

ABSTRACT

Testing of new coatings to control fouling frequently involves single-species laboratory bioassays. Barnacle cyprids are among the most widely used model organisms in marine biofouling research, and surfaces that inhibit their settlement are considered to be promising candidates for new coating concepts. An analysis of motility parameters (mean velocity and swimming area coefficient) and distribution of cyprids of Balanus amphitrite in different swimming regions in the vicinity of model surfaces (self-assembled monolayers) is presented. The data are correlated with the settlement preferences of cyprids on these surfaces. Cyprids were predominantly found in interfacial regions and the transition frequencies between swimming regions of different depths were determined.


Subject(s)
Biofouling/prevention & control , Thoracica/physiology , Animals , Behavior, Animal , Population Dynamics , Surface Properties , Swimming
3.
J Biomed Opt ; 17(5): 056011, 2012 May.
Article in English | MEDLINE | ID: mdl-22612134

ABSTRACT

We present a dynamic laser speckle method to easily discriminate filamentous fungi from motile bacteria in soft surfaces, such as agar plate. The method allows the detection and discrimination between fungi and bacteria faster than with conventional techniques. The new procedure could be straightforwardly extended to different micro-organisms, as well as applied to biological and biomedical research, infected tissues analysis, and hospital water and wastewaters studies.


Subject(s)
Image Interpretation, Computer-Assisted/methods , Lasers , Pattern Recognition, Automated/methods , Phanerochaete/classification , Phanerochaete/cytology , Pseudomonas/classification , Pseudomonas/cytology , Diagnosis, Differential , Fungi , Image Enhancement/methods , Lighting/methods , Reproducibility of Results , Sensitivity and Specificity
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