Engineering your way through image analysis
By integrating the complementary strengths of best 3D/4D visualization, image analysis and interpretation, Imaris promises to help your research at the front line of your field.
Imaris systematically encompass both complex structural and dynamic data analysis, measures changes in structure over time and provides qualitative and quantitative image information supporting and enabling:
Evaluation of changes in asphalt microstructure, analysis of metallic structures, characterization of nanoemulsions, investigation of liquid marbles, analysis of dendrimers architecture or development of a new granular media
“ The ‘‘spot object’’ feature of Imaris, which was proven to be the most effective method for particle tracking in asphalt concrete blocks , was used to determine the particle movement. ”
Erdem Coleri, John T. Harvey, Kai Yang, John M. Boone Micromechanical investigation of open-graded asphalt friction courses’ rutting mechanisms Construction and Building Materials, Volume 44, July 2013, Pages 25–34
Discoveries enabled by Imaris' features...
Taniguchi, I., et al., Structural analysis of poly(amidoamine) dendrimer immobilized in crosslinked poly(ethylene glycol). Journal of Polymer Science Part B: Polymer Physics, J. Mater. Chem. A, 2013,1, 14514-14523.
Dr. Ikuo Taniguchi and colleagues, Kyushu University
Imaris was used to analyse the structure of the phase-separation membrane. 2D images of the membrane made of a blend of PAMAM dendrimer immobilized in a PEG dimethacrylate network were processed to create 3D reconstructions of the interface of PEG and the PAMAM dendrimers. Imaris was also used to quantify the volume fractions, interface area, and other characteristics of the phase-separated structure
Discover how Imaris can assist your research...
|Imaris Features & Benefits
|1. Comprehensive insight into complex materials microstructure
||? Imaris is optimized for 2D and 3D images from light microscopy, EM, CT
? Use Imaris Spots detection (up to 100 000 particles) and Imaris Surface segmentation (precise shape recognition) in 3D datasets
|2. Measurement and analysis of geometric features, size distribution, location for nanoparticles or material surfaces
||? Imaris MeasurementPro quantitatively analyse image using more than 150 fully automatically objects measurements: counts, distributions, areas, volumes, orientations and packing dynamics
? Interactive filtering, sorting, classifying
|3. Define dendritic architecture of polymers or fibers
||? Use FilamentTracer to detect fiber structures.
? Report length, diameter, tortuosity as well as network complexity.
|4. Address your own application needs and evolving requirements.
Integrate your MatLab or Phyton custom data analysis applications
|? Expand Imaris functionality using Imaris XT -community-driven development model www.open.bitplane.com.
|5. Measure changes over time
||? Use highly reliable algorithms in ImarisTrack to visualize and measure motion related parameters; movement trajectory, displacement, acceleration and speed
|6. Analyse and present data by comparing structures or movements
Enhance the understanding of results and interpret differences
|? Use ImarisVantage to create explorative interactive plots by linking the raw data, segmented objects, calculated statistics data.
? Any of the hundreds of measured parameters can be used to build the 5D plot (X, Y, Z, color and scale)
“ I used IMARIS because of its great visualization capabilities for my x-ray CT images and the spot analysis package for automatically identifying and segmenting the particles in my sample. ”
Robert Shepherd, Assistant Professor, Cornell University, Sibley School of Mechanical & Aerospace Engineering
|Yin S., et al., Functional Free-Standing Graphene Honeycomb Films, Advanced Functional Materials, 2013
||Pataky, K., et al., Microdrop Printing of Hydrogel Bioinks into 3D Tissue-Like Geometries. Advanced Materials, 2011.
|Besnard, L., et al., Multiple Emulsions Controlled by Stimuli-Responsive Polymers. Advanced Materials, 2013
||Adelmann, H., B.P. Binks, and R. Mezzenga, Oil Powders and Gels from Particle-Stabilized Emulsions. Langmuir, 2012. 28(3): p. 1694-1697
|Nguyen T.H., et al., Observation of the liquid marble morphology using confocal microscopy Chem. Eng. Journal, 2010. 162(1): p. 396-4055. Nguyen T.H., et al., Observation of the liquid marble morphology using confocal microscopy Chem. Eng. Journal, 2010. 162(1): p. 396-405
||Koepplmayr, T., et al., Patterned Immobilization of a Luminescent Ru(II) Complex in Polymer Films Using the Photoreaction of Benzyl thiocyanate: Toward Color Emission Tuning of Electroluminescent Devices. Macromolecular Chemistry and Physics, 2012. 213(4): p. 367-373
|Varela JA, Bexiga MG, Åberg C, Simpson JC, Dawson KA. Quantifying size-dependent interactions between fluorescently labeled polystyrene nanoparticles and mammalian cells. J Nanobiotechnology. 2012 24; 10:39
||Ong, L., et al., The effect of pH at renneting on the microstructure, composition and texture of Cheddar cheese. Food Research International, 2012. 48(1): p. 119-130
|Shepherd, R.F., et al., Structural evolution of cuboidal granular media. Soft Matter, 2012. 8(17): p. 4795-4801
||Carregal-Romero, E., et al., One-Step Patterning of Hybrid Xerogel Materials for the Fabrication of Disposable Solid-State Light Emitters. ACS Applied Materials & Interfaces, 2012. 4(9): p. 5029-5037