Revolutionizing Laser Ablation Experiment Design
iolite Targeting is a cutting-edge application from the iolite Team that elevates LA-ICP-MS experiment design from lab-bound to fully portable. Designed with advanced computer vision and machine learning capabilities, it streamlines every step of the workflow—from experiment creation (Targeting) to execution (AV2) and final data processing (iolite).
iolite Targeting Features
Intelligent Grain Detection
Harness powerful grain recognition algorithms to detect thousands of grains in seconds. Automatically apply ablation patterns across your samples, with full control over placement strategies to suit your analytical goals.
Seamless Image Integration
Incorporate images from any source—SEM imagery, TIMA maps, photomicrographs, or even stained tissue sections. Combine multiple imaging modalities to refine and enrich your targeting approach. Use machine learning segmentation to identify phases within your samples automatically.
Data-Driven Experimentation
Leverage data from prior iolite experiments to design smarter targeting. Generate reconnaissance maps, apply techniques such as PCA mapping, clustering, and channel arithmetic in iolite v4, and import the results directly into Targeting to guide high-resolution follow-up studies.
Spatial & Compositional Anchoring
Upload data tables from electron probe or SEM analyses and use their coordinates to anchor ablation patterns. Carry associated compositional data seamlessly through to final processing, ensuring everything aligns for robust database storage.
Precognition Visualization
Preview your imaging experiments before initiating. Precognition simulates achievable detail levels based on your mass spectrometer and laser settings, while flagging potential concerns like signal smearing or aliasing.
Metadata Continuity
Ensure comprehensive metadata retention throughout the entire process. Grain detection parameters, shape descriptors, project codes, IGSNs—Targeting carries all of it through to AV2 and into iolite, preserving essential contextual information.
Reproducibility with Precision
Create and save pattern presets to promote reproducibility while minimizing user bias. Avoid the pitfalls of manual spot selection and ensure statistically sound targeting across varied grain sizes and morphologies.
Efficient Experiment Scheduling
Design and queue multiple experiments before stepping into the lab. Simply load, re-coordinate, and initiate—all without wasting instrument time or consumables.
iolite Targeting Demo
Portable & Cross-Platform
Design experiments anywhere, on any device. iolite Targeting elevates LA-ICP-MS experiment design from lab-bound to fully portable.
Target Smarter
Use advanced computer vision and machine learning to optimize your targeting strategy and eliminate manual selection bias.
Save Time
Design and queue multiple experiments before entering the lab. Minimize instrument time waste and maximize productivity.
