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AI-powered image analysis for pharmaceutical and biotechnology research
Thermo Scientific Amira Software helps pharmaceutical and biotechnology scientists analyze complex life science imaging data and make more informed research decisions. It supports key challenges such as compressed R&D timelines, increasing data volume, and the need for scalable automation.
Amira Software enables visualization, segmentation, and analysis of multidimensional data across a wide range of imaging modalities. Integrated deep learning–based segmentation and compatibility with high-content screening workflows help streamline image analysis and improve consistency.
With flexible customization and expert support, Amira Software helps researchers simplify workflows, extract meaningful biological insights, and advance preclinical research with greater confidence.
Applications
3D cell segmentation for biological target identification
Understand pathological biology and identify drug targets through advanced 3D cell image segmentation and quantitative analysis.
- Cell morphology and ultrastructure analysis
- Organelle visualization and biomarker expression
- Cell viability, dynamics, and spatial distribution
- Particle quantification (e.g., viruses, vesicles, nanoparticles)
Benjamin Cooper, Max Planck Institute for Experimental Medicine, Göttingen Germany
High-content screening image analysis for lead compound optimization
Evaluate drug candidates for efficacy, safety, and delivery using high-content screening and advanced image analysis workflows.
- High-content imaging and multi-channel 3D analysis
- Active pharmaceutical ingredients (APls) particle distribution and intracellular localization
- Nanoparticle characterization (size, morphology, uptake)
- Toxicity studies and cell response quantification
Preclinical image analysis for drug discovery and formulation
Assess drug effects in tissues and organs with multimodal imaging and quantitative analysis.
- In vivo and ex vivo image analysis (CT, MRI, PET, SPECT)
- Tumor detection, growth, and re-vascularization analysis
- Structural anatomy and organ-remodeling characterization
- Multi-modal data correlation across biological scales
Dr. Halina Dobrzynski lab, Cardiovascular Sciences, University of Manchester, UK
Featured use cases of image analysis in pharmaceutical research
Why choose Amira Software for drug discovery image analysis?
Visualize and analyze complex biological data in 3D, from subcellular structures and cells to tissues and whole organisms.
Integrate and correlate data from multiple imaging modalities in one platform, including electron microscopy, light microscopy, high-content screening, CT, MRI, PET and SPECT.
Reduce manual effort and accelerate analysis using AI-powered segmentation, automated workflows, and ready-to-use tools.
Extract quantitative insights from imaging data, including measurements of morphology, shape & size distribution, and spatial information relationships.
Support key pharmaceutical workflows, such as target identification, compound screening, nanoparticle characterization, and preclinical imaging.
Efficiently handle large, multidimensional datasets, enabling scalable analysis of high-resolution imaging data.
Adapt workflows to specific research needs, with flexible tools for visualization, segmentation, and custom analysis.
Gain better understanding of disease mechanisms and biological responses, supporting research across all stages of drug discovery and development.
Customer testimonials in pharmaceutical and biotech imaging
Webinar: Image analysis software for drug discovery and development
How Amira Software supports drug discovery and development
Learn how a powerful imaging data toolbox can streamline drug discovery workflows. In this webinar, discover how Amira Software is applied in real-world pharmaceutical research through concrete examples spanning target identification, high-content screening, and preclinical imaging. See how researchers use 3D visualization, segmentation, and deep learning-based analysis to extract quantitative insights from complex imaging datasets, evaluate drug effects at the cellular level, and study tissue and tumor responses in vivo.
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Community and user stories
Discover inspiring stories and detailed examples of how our community has used Amira Software to achieve remarkable results through innovative approaches.
Take the next step in advancing your pharmaceutical research with Amira Software
If you are looking for advanced 3D imaging and analysis for drug discovery, Amira Software helps you visualize cellular structures, analyze complex datasets, and streamline workflows from target identification to preclinical studies. Start your trial and see how it can support your research.
FAQ (Frequently asked questions)
Amira Software enables automated segmentation, quantification, and analysis of large-scale cell imaging datasets using recipes, helping researchers process thousands of images efficiently and consistently.
Amira Software supports target identification by enabling detailed analysis of cell morphology, viability, biomarker expression, and drug response, helping researchers uncover disease mechanisms from imaging data.
Amira Software allows you to visualize and analyze 3D cell cultures, such as spheroids and organoids, providing deeper insights into how compounds affect their cellular structures and functions.
Amira Software enables quantitative characterization of nanoparticles, including size, morphology, and distribution, supporting the development and optimization of drug delivery systems.
Amira Software supports analysis of CT, MRI, PET, and other imaging data from animal models, enabling visualization, segmentation, and quantification of tissues, organs, tumors, and treatment effects.
Amira Software is designed to handle large, multi-dimensional datasets from multiple imaging modalities, making it easier to visualize, process, and interpret complex biological data.
Amira Software integrates deep learning-based tools to automate segmentation and analysis, reducing manual effort, improving accuracy, and enabling scalable, reproducible workflows.
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For Research Use Only. Not for use in diagnostic procedures.