View, share & analyze whole slide images for research and medical education

Stereology Software Free
Stereology Software Free
Stereology Software Zeiss
Stereology Software
Stereology Software
Stereology Software Zeiss

Implicit in this approach is the use of specialized software that controls the acquisition process (discussed below) and allows the interaction of a stereological probe with the image. Although it is possible to conduct a study without specialized stereology software, this becomes very difficult to actually perform at high resolution. Stereology Analyzer is a simple to use software tool for reliably estimating quantifications of important 3D structures. This tool is general in its implementation, but has applicability to various scientific domains, most commonly in medicine, materials science, and geology. Jul 19, 2017 stereology. These scripts are designed to assist with performing unbiased stereology using the Fiji distribution of ImageJ. These scripts were written or modified, as noted, by Theresa Swayne, Ph.D., Columbia University, New York, NY, USA. GrainSizeTools is a free, open-source, cross-platform script written in Python that provides several tools for (1) estimating average grain size in polycrystalline materials, (2) characterizing the nature of the distribution of grain sizes (either from apparent distributions or approximating 3D grain size distributions via stereology),.

Microscope image analysis system for scientific research

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“Stereo Investigator is the most reliable tool for collecting unbiased stereology data. It’s backed by excellent technical and research support teams at MBF. You can call to ask about stereology probes, tissue preparation, microscope hardware, basically anything regarding your stereology study. “
Mark West, Ph.D.
Aarhus University, Denmark

“Neurolucida is one of the very few systems that combines complex morphometrical quantification with beautiful display of the results.”
Ahmad Salehi, Ph.D.
Clinical Professor, Department of Psychiatry and Behavioral Sciences
Stanford Medical School

“Stereo Investigator is great for stereology. Although there is no field representation in the UK, the team in Vermont have been excellent at supporting us in our research applications. With online support and real time meetings and webinars, we’ve been able to make substantial progress on our research projects. MBF aren’t afraid of a technical challenge, which is excellent, and have managed to provide us an excellent solution for our complex research needs.”
Anne Wheeler, Advanced Imaging Facility Manager
Queen Mary, University of London

“Our system worked almost every day for the last eight years with no major failure (we published more than 15 papers using Neurolucida). A terrific machine!”
Ferdinando Rossi, M.D., Ph.D.
Rita Levi Montalcini Center for Brain Repair, University of Turin

“Stereo Investigator is a excellent stereology system. It is easy to work with and the workflows help you to work very efficiently. It is a crucial research tool for obtaining estimates of number of neurons, length of capillaires, length density of fibers, volume measurements of regions of interests or neurons, etc in specific brain regions. I would like to recommend it to everybody who is interested in stereology. In addition, MBF provides excellent technical support and helps you to find the best technical tools for your research challenges on morphometry.”
Wilma Van De Berg, Ph.D.
VU University Medical Center – Neuroscience Campus Amsterdam

Stereological analysis of 3D structures using 2D section or projection images

Stereology Analyzer is a simple to use software tool for reliably estimating quantifications of important 3D structures. This tool is general in its implementation, but has applicability to various scientific domains, most commonly in medicine, materials science, and geology.

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The common factors in these fields are the need to characterize and quantify microscopic structures of interest (“SOI”) and the use of very large images (i.e., virtual slides or composite images).

Where automated processes don’t exist or fail to compute SOI parameters reliably, stereology is the method of choice to estimate these parameters. In fact, stereology is also frequently used to validate the proper performance of complex, automated algorithms. Stereology Analyzer is a faithful implementation of long-accepted stereological and statistical methods in the context of today’s software technology.

Science
Structures Of Interest
Medicine
Tumor, vessels, cell, hotspot, etc.
Materials
Grain, inclusion, boundary, pore, etc.
Geology
Pore, phase, etc.

Stereology Background

The term stereology was first introduced in 1961 when the International Society for Stereology (ISS) was founded by a small group of scientists, although the basis of stereology theory was defined more than 300 years ago. By definition, stereology is the science that studies the geometric relationship between a structure that exists in 3D space and a set of images of the same structure that are fundamentally defined in 2D space (images of slices, sections, or projections). Note that standard 2D image processing techniques will hardly provide 3D information from sections, except for the volume fraction value.

Stereology Analyzer Presentation

Stereology Analyzer implements long-standing and accepted stereology techniques that employ an interactive grid overlaid on regions of interest (“ROI”) in a 2D image. Stereology Analyzer enables the user to optionally define one or more ROIs and a grid that overlays the ROIs or the whole image. The type and spacing of the grid can be adjusted by the user to achieve the best estimates of the SOI parameters contained within the ROIs. The types of grids are characterized by the geometric element that displays at the grid’s nodes. Grid element alternatives include points, lines, frames, squares, and circles.

After the grid and ROIs are defined, the user manually highlights SOIs that are intersected by the grid elements. The number of grid elements contained within the ROIs and the number of highlighted SOIs are then automatically counted and used to compute SOI parameters. The automatic computations are based on classical stereological and statistical analyses. These computational results are then displayed on the computer’s screen and can be exported into third party environments (e.g., Excel, Word) for display and further analysis specific to the applicable field.

Image Processing Algorithm Validation

Experts in the applicable field can use Stereology Analyzer to quickly compute unbiased estimates of SOI parameters on virtual slides. If used properly, Stereology Analyzer is an effective alternative for image processing developers to validate a sequence of complex image processing algorithms. In addition, while complex algorithms require careful validation of their results, stereology results require no validation since results are derived from a standard statistical analysis of grid elements and user-highlighted SOIs.

In the field of medicine, when the SOIs cannot be highlighted by a specific staining (e.g., histochemical or imm

Stereology Software