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Thanks to accelerated innovations in microscopy, life scientists now have access to a growing suite of imaging tools and techniques. However, the trade-off in some cases is that imaging data size and volume may be significantly higher, especially with high-resolution or light sheet fluorescence microscopy.
The Xplore5D extension for Thermo Scientific Amira Software allows you to easily visualize, correlate, and process large multi-channel and time series data in one environment.
Amira Software is a powerful tool for visualizing, manipulating, and understanding life science research data from many image modalities, including light sheet fluorescence microscopy, electron microscopy, CT, MRI, and other techniques. With the inclusion of Xplore5D, Amira Software now addresses the growing challenges of handling large imaging data. Xplore5D offers you easy data conversion and compression with immediate visual feedback, allowing you to quickly interact with and communicate on large 3–4D+ data. Xplore5D enables you to build meaningful answers to complex research questions across structural and cellular biology, tissue imaging, neuroscience, preclinical imaging, and bioengineering.
Amira Software with Xplore5D will help you increase productivity and turn research and discovery into action.
Cell detection
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.
Correlative imaging
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 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 that allow for the adjustment of the registration parameters to meet the needs of your data.
Membrane detection
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.
High-content screening
Amira Software enables multi-channel quantitivative capabilities to investigate the most demanding scientific and experimental models used in HCS, including immuno-oncology, neuroscience, and organoid health. Thanks to its incredible speed and flexibility, Amira Software helps enable advanced 2D–5D bioimaging workflows in research areas ranging from structural and cellular biology, to neuronal and spheroid morphology in 3D models. To facilitate these advanced analyses, Amira Software features deep learning for improved training and prediction, including "intelligent denoising functionality".
Filament tracing
With Amira Software, researchers are able to use a template-matching algorithm to automatically detect and trace fine filaments. In addition, Amira Software enables scientists to reconstruct filamentous networks and edit the resulting graphs to remove image features erroneously identified as filaments or to add missing parts of a network. Graphs of filaments can then be quantified by measuring parameters such as amount, length, thickness, orientation, ranks, etc. Compelling 3D renderings can be created from the reconstructed model and the computed parameters.
Cell detection
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.
Correlative imaging
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 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 that allow for the adjustment of the registration parameters to meet the needs of your data.
Membrane detection
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.
High-content screening
Amira Software enables multi-channel quantitivative capabilities to investigate the most demanding scientific and experimental models used in HCS, including immuno-oncology, neuroscience, and organoid health. Thanks to its incredible speed and flexibility, Amira Software helps enable advanced 2D–5D bioimaging workflows in research areas ranging from structural and cellular biology, to neuronal and spheroid morphology in 3D models. To facilitate these advanced analyses, Amira Software features deep learning for improved training and prediction, including "intelligent denoising functionality".
Filament tracing
With Amira Software, researchers are able to use a template-matching algorithm to automatically detect and trace fine filaments. In addition, Amira Software enables scientists to reconstruct filamentous networks and edit the resulting graphs to remove image features erroneously identified as filaments or to add missing parts of a network. Graphs of filaments can then be quantified by measuring parameters such as amount, length, thickness, orientation, ranks, etc. Compelling 3D renderings can be created from the reconstructed model and the computed parameters.
Shorten your learning curve and maximize your investment with this introductory training specifically designed for new users of Amira Software.
The course consists of a lecture with hands-on sessions. The training material highlights the basic features and functionalities of Amira Software.
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With over 25 years of experience in 3D and image processing and hundreds of custom projects delivered to organizations small and large, Thermo Fisher Scientific can provide you with a solution tailored to fit your specific needs.
We have the ability to customize and expand our software solutions at various levels
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Maximize your investment and reduce your time-to-results with this advanced training specifically designed for existing users of Amira Software.
The course consists of a lecture with hands-on sessions. The training material highlights advanced features and functionalities of Amira Software.
Learn more
- Bio-Formats
- Bitmap formats
- Microscopy: electron and optical
- Medical and neuroimage formats
- Molecular formats
- Other acquisition devices (MRI, radiography, etc.)
For Research Use Only. Not for use in diagnostic procedures.