Case study: visualization of laser confocal microscopy datasets

@article{Sakas1996CaseSV,
  title={Case study: visualization of laser confocal microscopy datasets},
  author={Georgios Sakas and Michael G. Vicker and Peter J{\"o}rg Plath},
  journal={Proceedings of Seventh Annual IEEE Visualization '96},
  year={1996},
  pages={375-379}
}
The paper presents an example of how existing visualization methods can be successfully applied-after minor modifications-for allowing new, sometimes unexpected insight into scientific questions, in this case for better understanding of unknown, microscopic biological structures. The authors present a volume rendering system supporting the visualization of LCM datasets, a new microscopic tomographic method allowing for the first time accurate and fast in-vivo inspection of the spatial structure… 

Figures and Tables from this paper

Image-guided interactive volume visualization for confocal microscopy data exploration

TLDR
A new 3D microscopy imaging approach that integrates volume visualization and 3D image processing techniques for interactive 3D data exploration and analysis and allows the users to interactively manipulate a small number of parameters to achieve desired visualization effects is presented.

Interactive Visualization Technique for Confocal Microscopy Images

  • Tang MinWang Hui-nan
  • Computer Science
    2007 IEEE/ICME International Conference on Complex Medical Engineering
  • 2007
TLDR
Experimental results demonstrate that the speed and versatility of the program allows for convenient, fast, interactive examination of unknown cell structures even on commodity PC without any other special hardware.

Visualization of time dependent confocal microscopy data

TLDR
The paper presents a case study in which a number of visualization techniques were applied to analyze a specific problem in cell biology: the condensation and de-condensation of chromosomes during cell division.

Visualization and Analysis of Large Data Collections: a Case Study Applied to Confocal Microscopy Data

TLDR
An approach in which interactive visualization and analysis are combined with batch tools for the processing of large data collections and an extensive case study, in which a collection of confocal microscopy data sets is analyzed is illustrated.

Image Processing and Interactive Visualization of Confocal Microscopy Images

TLDR
Experimental results demonstrate that the speed and versatility of the program allows for convenient, fast, interactive examination of unknown cell structures even on commodity PC without any other special hardware.

Visualization of confocal microscopic biomolecular data

Biomolecular visualization facilitates insightful interpretation of molecular structures and complex mechanisms underlying bio-chemical processes. Effective visualization techniques are required to

Reconstruction of Cellular Biological Structures from Optical Microscopy Data

TLDR
The work reported here demonstrates that a suitable methodology can be conceived that isolates modality-dependent effects from the larger segmentation task and that 3D reconstructions can be cognizant of shapes as evident in the available 2D planar images.

Coupling between In Vivo Endomicroscopic Imaging and Visualization Computing

  • M. M. MovaniaF. Lin
  • Computer Science
    2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems
  • 2014
TLDR
The novel algorithms for the nonrigid image registration and interpolation in cellular imaging, volumetric feature detection and enhancement in rendering, as well as ubiquitous volume rendering on various clinic terminals including nowadays tablets and smart phones are presented.

References

SHOWING 1-10 OF 16 REFERENCES

Interactive visualization of large scalar voxel fields

TLDR
A technique is given allowing interactive visualization of large, scalar, discrete volume fields as semitransparent clouds 'on the fly', i.e. without preprocessing, by using a scanline based method and a DDA-based traversing scheme instead of ray-tracing to achieve real-time processing during previewing.

Volume visualization

TLDR
This special issue presents a volume-rendering algorithm in which the image quality is adaptively refined, and a new discrete-shading technique for volumetric data, and investigates methods for direct display of 3D graylevel medical data, employing ray casting and gray-level shading, as well as 3D segmentation.

Confocal scanning optical microscopy and its applications for biological specimens

TLDR
The ability to reduce out-of-focus blur, and thus permit accurate non-invasive optical sectioning, that makes confocal scanning microscopy so well suited for the imaging and three-dimensional tomography of stained biological specimens.

Efficient ray tracing of volume data

TLDR
This paper presents a front-to-back image-order volume-rendering algorithm and discusses two techniques for improving its performance, which employs a pyramid of binary volumes to encode spatial coherence present in the data and uses an opacity threshold to adaptively terminate ray tracing.

Display of surfaces from volume data

  • M. Levoy
  • Physics
    IEEE Computer Graphics and Applications
  • 1988
TLDR
The application of volume-rendering techniques to the display of surfaces from sampled scalar functions of three spatial dimensions and the use of selective blurring and supersampling to further improve image quality is described.

Optimized Maximum Intensity Projection (MIP)

TLDR
An improved version of the MIP algorithm that requires roughly 2%–10% of the computational effort of the brute-force, straight-forward version and conserves the image quality and requires no pre-processing is presented.

The locomotion, shape and pseudopodial dynamics of unstimulated Dictyostelium cells are not random.

TLDR
The dynamic periphery of unstimulated, preaggregation, hunger-stage Dictyostelium discoideum amoebae was investigated by time-lapse videomicroscopy and digital image processing, and an analytical mathematical description of ROWS is developed to simulate cell movements accurately.

AC!M Transact& on Graphics

  • AC!M Transact& on Graphics
  • 1990

h1.G.: T/ze loco~7zofiotz. shape c1nc2 p.scuflupofhz dynnrrlics oj rcrl.sl~rIliclnlcd Did yoslc4iu7n cells clrc not rcrrdom, JOII rnal of Ccl1 Scicrlcc

  • 1993