Preclinical image analysis relies on augmenting structural information from micro-CT or MRI systems with functional data from PET, SPECT or optical imaging instrumentation. Analysis of novel drug candidates requires pinpointing the location of dynamic processes acquired with functional modalities in images of the animal’s anatomy from structural modalities over time.
Thermo Scientific Amira Software enables the fusion of any type of preclinical image data. Co-registered images can be segmented and analyzed using Amira Software’s vast library of image analysis filters and algorithms. Image segmentation and quantification workflows can be applied to entire time series of image data of dynamic processes. With Amira Software’s professional-grade visualization tools, structural information from CT and MRI can be augmented and rendered jointly with segmentation results and functional images to create visualization of physiological processes that reveal the underlying mechanisms in an intuitive animation.
One of the main goals for which researchers are using preclinical imaging is in-vivo distribution studies aimed at localizing therapeutic agents in drug or gene therapy. These agents are often tagged or made susceptible for tagging with radioactive nuclei for detection with PET or SPECT imaging instruments.
With its extensive, performance-optimized registration tools and its multi-volume architecture, Amira Software allows preclinical researchers to automatically co-register image data from any type of preclinical imaging instrumentation. Amira Software’s extensive toolbox of segmentation and quantification tools then allows for segmentation of the anatomical images and quantifying radiotracer uptake in the co-registered functional images.
Micro-CT image acquisition is one of the most popular imaging techniques for any type of bone research. One of the first steps for any bone analysis is bone segmentation and separation into individual bones.
Amira Software offers the tools to perform bone segmentation from the surrounding tissue. The segmented bones can then be separated with Amira Software’s advanced algorithms. The individual bones can then be measured using a customizable list of the many measurements that Amira Software provides, such as size, shape and orientation.
Bones typically consists of two types of osseous tissue: cortical and trabecular bone, giving bones their stiff and flexible properties. After separating bones and classifying them into different types, bone researchers are often interested in the morphology of the trabecular bone structures.
For this purpose, Amira Software supports a workflow that separates the trabecular bone from the cortical bone. Once the two osseous tissues have been segmented, a series of bone morphometry measurements can be applied to quantify the trabecular bone structure.
Applications in dentistry, evolutionary biology or paleontology often aim at separating teeth that are in close proximity. The resolution limit of the imaging system typically prevents tooth segmentation by traditional means and often requires manual tracing of the teeth outline.
The advanced separation algorithms in Amira Software allow tooth separation workflows that will minimize the image processing time and deliver accurate and reproducible results.
*For Research Use Only. Not for use in diagnostic procedures.