Imaris 11 introduces Workflows, an accessible, step-by-step procedure framework that simplifies 3D image analysis for researchers at all levels.
- Save time using automation
- Increase precision
- Simplify analysis protocols
- Reproducible results
Imaris: Accelerating Discovery Through Automated, Reproducible Analysis
Image analysis is frequently time-consuming and repetitive, with researchers manually repeating the same procedures across multiple datasets while finding it difficult to communicate precise methodologies for reproducibility.
To overcome these difficulties, Imaris 11 introduces workflows that use batch processing to automate repetitive tasks and encapsulate analytical processes in exportable protocols.
Image analysis is no longer a bottleneck but rather an accelerator of discovery since researchers can now handle enormous datasets effectively, guarantee repeatable findings, and easily exchange methodologies with colleagues.
Workflows - Batchable Image Analysis Protocols
Users can easily build a customized image analysis workflow (Workflow) in Imaris 11 that is tailored to the specific requirements and study field. These workflows streamline the analysis process and can be stored and applied to other datasets with a single click.
Neurosciences
Microglial Synapse Engulfment
Imaris 11 enhances the analysis of microglial synapse engulfment by simplifying a complex, time-consuming process into a more efficient workflow. Surface segmentation identifies microglia, and automated algorithms measure the engulfed synapses.
These workflows significantly decrease analysis time, guarantee reproducibility, and enable researchers to compare synaptic engulfment across different experimental groups using batch protocols.
Vasculature Research
Heart Vasculature Morphology
Examining the heart's vasculature presents significant challenges: intricate vessel networks necessitate accurate segmentation, manual tracing is labor-intensive, and comparing cardiac compartments requires a uniform methodology.
Imaris 11 Workflows incorporate machine-learning-based pixel classification for automated vessel segmentation, alongside Filament Tracer for accurate measurement of vessel length and diameter, facilitating reproducible analysis across various heart samples and compartments and thereby converting complex cardiac analysis into an efficient, shareable protocol.
Cells and Tissues
Single-Cell Analysis of TFEB activation
Measuring lysosomes and TFEB expression at the single-cell level has traditionally required several segmentation steps, which can compromise reproducibility.
Imaris 11 Workflows simplify this process by combining cell and nuclear surface segmentation with Spot detection for lysosomes and TFEB into a single automated, reproducible workflow. Statistics are gathered for each cell, while Batch Workflows facilitate uniform analysis and direct comparisons across experimental groups using Vantage plotting tools.
Eleven New Functionalities in Imaris 11.0
Imaris 11.0 introduces a groundbreaking method for reproducible image analysis, designed to increase productivity and improve outcomes.
Explore eleven robust new features that enhance the analysis experience, optimize workflows, and provide a significant advancement in data analysis.
These innovations encompass all critical stages, such as image preprocessing, quantification, visualization, batch processing, comparisons, and data plotting.