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Anatomical 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.
Amira Software enables the fusion of any type of anatomical 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.
凭借功能 强大的 分割和 图像 处理能力 与工作流程以及与科学界和数千名研究人员超过 20 年 的合作, 现已证明,我们基于数字成像的工作流程为 生物医学和生命科学研究提供了 可靠解决方案。
由于您的需求独一无二且不断变化,我们的软件解决方案非常灵活并且可以定制。借助我们的脚本编写界面(Python、TCL)、与 MATLAB 桥接以及编程 API,您可以扩展我们的软件解决方案并整合您自己的 IP(知识产权)。如果需要,我们的专业服务团队可以帮助设计符合您需求的独特解决方案。
"Research at Vetmeduni Vienna is quite diverse, covering both clinical and preclinical research areas. We are currently four people working in the imaging facility, providing equipment and supports for researchers in both image acquisition (widefield microscopy, CLSM, spinning disk confocal microscopy, soon also STORM super-resolution microscopy, microscopic X-ray computed tomography) and in data visualization and analysis. Amira Software allows you to build networks, enabling complex interactions between data objects. Biology is also complex, and biological interactions are complex networks. Complex questions require complex tools to address them. In this respect, analysis networks such as used in Amira Software outperform most other software approaches when it comes to complex data analysis. Furthermore, I like that Amira Software is quite open concerning integration of deep learning networks and scripting (Tcl, Matlab, Python,...)."
Stephan Handschuch, PhD
VetCore, University of Veterinary Medicine, Vienna
Explore industry-leading insights and research that can support your lab workflow. Amira Software can empower your lab with a cutting-edge, comprehensive imaging data analysis toolbox.
Helping scientists answer questions that enable breakthrough discoveries in life sciences, materials science, and industry.
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One of the main reasons 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.
Cellular spheroids are 3D cell cultures that represent in vivo tissue better than traditional cellular monolayers, improving the ability of researchers to study cancer, diabetes mellitus, or stem cells among many applications.
However, cell analysis in such 3D multicellular objects is not accurately possible, especially without destroying the object of study. Amira Software can automatically separate the cells and perform volumetric, morphometric, and intensity measurements on individual cells and their nuclei in 3D image data of these spheroids. Amira Software also helps researchers with the analysis of conventional 2D cellular monolayers.
With its long-standing applications in multi-modality imaging techniques, Amira Software is the tool of choice for many researchers working with data from different imaging modalities. Amira Software’s architecture supports multi-volume data processing and visualization from the ground up.
The automatic registration tools integrated into the standard edition of Amira Software with the Multi-Planar Workroom offer the flexibility of the most commonly used automated registration metrics and optimizers. These allow for the adjustment of the registration parameters to meet the needs of your data.
Amira Software accelerates segmentation by employing automated detection of cellular features, such as filaments and membranes.
By performing advanced image analysis and statistics on the cryo-tomograms, Amira Software combines data from these individual structures, averaging out noise and increasing contrast to create a composite model with higher resolution.
One of the main reasons 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.
Cellular spheroids are 3D cell cultures that represent in vivo tissue better than traditional cellular monolayers, improving the ability of researchers to study cancer, diabetes mellitus, or stem cells among many applications.
However, cell analysis in such 3D multicellular objects is not accurately possible, especially without destroying the object of study. Amira Software can automatically separate the cells and perform volumetric, morphometric, and intensity measurements on individual cells and their nuclei in 3D image data of these spheroids. Amira Software also helps researchers with the analysis of conventional 2D cellular monolayers.
With its long-standing applications in multi-modality imaging techniques, Amira Software is the tool of choice for many researchers working with data from different imaging modalities. Amira Software’s architecture supports multi-volume data processing and visualization from the ground up.
The automatic registration tools integrated into the standard edition of Amira Software with the Multi-Planar Workroom offer the flexibility of the most commonly used automated registration metrics and optimizers. These allow for the adjustment of the registration parameters to meet the needs of your data.
Amira Software accelerates segmentation by employing automated detection of cellular features, such as filaments and membranes.
By performing advanced image analysis and statistics on the cryo-tomograms, Amira Software combines data from these individual structures, averaging out noise and increasing contrast to create a composite model with higher resolution.
通过专门为 Amira、Avizo 和 PerGeos 软件新用户设计的入门培训,缩短学习曲线,使投资收益最大化。
课程包括一个讲座及互动提问环节。培训材料重点讲述 Amira、Avizo 和 PerGeos 软件的基本特点和功能。
通过专为 Amira、Avizo 和 PerGeos 软件的现有用户设计的高级培训使投资收益最大化并缩短取得成果的时间。
课程包括一个讲座及互动提问环节。培训材料重点讲述 Amira、Avizo 和 PerGeos 软件的高级特点和功能。
赛默飞世尔科技在 3D 和图像处理方面拥有超过 25 年的经验,向众多小型和大型机构交付了数百个定制项目,可根据您的特定需求为您提供量身定制的解决方案。
我们可以定制和扩展我们不同级别的软件解决方案。
Learn more about Amira Software for life sciences, a powerful, comprehensive, and versatile 2D–5D solution for visualizing, analyzing and understanding life science and biomedical research data from many image modalities.
Learn more about Amira Software for life sciences packages, to discover what optional package could dramatically boost your productivity and push the boundaries of your image analysis projects..
Understanding the passage of air through the upper airways is crucial for planning corrective rhinosurgery when undisturbed airflow is inhibited by persistent obstructions or deformities.
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.
Discover how Amira-Avizo Software enables the whole 3D printing workflow, from 2D image stack import, to 3D reconstruction and 3D meshing, right through to 3D printer compatible formats export. Data courtesy of National University of Singapore.
Amira Software can automatically count the cell nuclei which correspond to the cell count of the 3D spheroid cell cultures.
Co-registration for distribution studies. CT/SPECT data courtesy of Dr. Nabil Boutagy of the Yale Translation Research Imaging Center.
Maximum intensity projection and surface reconstruction of a mouse thorax. Acquisition device: VAMP TomoScope® 30s+, Amira Software - Courtesy of Dr. Elizatea Stepina and Dr. Peter Hauff, Bayer Healthcare.
Learn more about Amira Software for life sciences, a powerful, comprehensive, and versatile 2D–5D solution for visualizing, analyzing and understanding life science and biomedical research data from many image modalities.
Learn more about Amira Software for life sciences packages, to discover what optional package could dramatically boost your productivity and push the boundaries of your image analysis projects..
Understanding the passage of air through the upper airways is crucial for planning corrective rhinosurgery when undisturbed airflow is inhibited by persistent obstructions or deformities.
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.
Discover how Amira-Avizo Software enables the whole 3D printing workflow, from 2D image stack import, to 3D reconstruction and 3D meshing, right through to 3D printer compatible formats export. Data courtesy of National University of Singapore.
Amira Software can automatically count the cell nuclei which correspond to the cell count of the 3D spheroid cell cultures.
Co-registration for distribution studies. CT/SPECT data courtesy of Dr. Nabil Boutagy of the Yale Translation Research Imaging Center.
Maximum intensity projection and surface reconstruction of a mouse thorax. Acquisition device: VAMP TomoScope® 30s+, Amira Software - Courtesy of Dr. Elizatea Stepina and Dr. Peter Hauff, Bayer Healthcare.
- 生物数据格式
- 位图格式
- 显微镜:电子和光学
- 医学和神经图像格式
- 分子格式
- 其他图像采集设备(MRI、放射摄影术等)
For Research Use Only. Not for use in diagnostic procedures.