Imaris 11 introduces Workflows, a simple step-by-step procedure framework that facilitates 3D image analysis for researchers of all levels.
- Reproducible findings
- Increase precision
- Simplify analysis protocols
- Save time using automation
Imaris: Accelerating discovery through automated, reproducible analysis
Image analysis is frequently repetitive and time-consuming, with researchers manually completing the same procedures across several datasets while attempting to share exact techniques for reproducibility.
Imaris 11 solves these issues by adding Workflows, which automate repetitive operations using batch processing and capturing analysis phases in exportable protocols.
Researchers can now effectively analyze enormous datasets, ensure reproducible findings, and easily exchange methods with colleagues, changing image analysis from a bottleneck to a discovery accelerator.
Workflows – Batchable image analysis protocols
With Imaris 11, users can easily design a unique image analysis process (Workflow) that is suited to their specific research field and needs. These workflows can be stored and used to additional datasets with a single click, speeding the analysis process.
Neurosciences
Microglial synapse engulfment
Imaris 11 streamlines microglial synapse engulfment analysis, which was previously a difficult and time-consuming technique. Surface segmentation identifies microglia, whereas automated techniques measure absorbed synapses.
Workflows significantly cut analysis time while maintaining repeatability and enable researchers to analyze synaptic engulfment across experimental groups using batch methods.
Vasculature research
Heart vasculature morphology
Analyzing heart vasculature is difficult because complicated vessel networks necessitate accurate segmentation, manual tracing is time-consuming, and comparing cardiac compartments requires consistent methods.
Imaris 11 Workflows combine machine learning pixel classification for automated vessel segmentation with Filament Tracer for precise vessel length and diameter quantification, allowing for repeatable analysis across multiple heart samples and compartments, reducing complex cardiac analysis to an efficient, shareable protocol.
Cells and tissues
Single-cell analysis of TFEB activation
Quantifying lysosomes and TFEB expression at the single-cell level has typically necessitated numerous segmentation processes, making repeatability difficult.
Imaris 11 Workflows simplify this approach by combining surface segmentation of cells and nuclei with spot detection of lysosomes and TFEB into a single automated, reproducible workflow. Statistics are compiled for each cell, but Batch Workflows allow for consistent analysis and direct comparison of experimental groups using Vantage plotting tools.
Eleven new functionalities in Imaris 11.0
Imaris 11.0 presents a unique technique for reproducible image analysis, intended to increase productivity and improve outcomes. Discover eleven strong new features that will improve the analysis experience, streamline workflows, and provide a transformative leap in data analysis. These improvements address all critical steps, such as image preprocessing, quantification, visualization, batch processing, comparisons, and data plotting.