LAMOS Master Image Analysis System V3.0

Overview

The LAMOS Master Image Analysis System V3.0 is a dedicated software platform engineered for quantitative morphological characterization of particulate and microstructural samples in laboratory and quality control environments. Unlike hardware-centric imaging instruments, this system operates as a post-acquisition analysis engine—designed to process high-resolution digital images acquired from optical microscopes, SEMs, TEMs, or macro-scale imaging stations. Its core functionality is grounded in pixel-based segmentation, edge detection, and statistical shape descriptor computation—including equivalent circular diameter (ECD), aspect ratio, circularity, convexity, solidity, and Feret dimensions. The V3.0 release introduces enhanced batch-processing logic, improved noise-resilient thresholding algorithms, and native support for multi-channel TIFF and 16-bit grayscale formats—ensuring compatibility with modern scientific imaging workflows.

Key Features

• Multi-algorithm thresholding suite: Otsu, IsoData, Triangle, and manual dynamic thresholding with real-time histogram feedback.
• Automated particle classification by size bins and shape families (e.g., rods, plates, agglomerates) using customizable rule-based logic.
• Batch processing engine supporting folder-based image queues with configurable output templates (CSV, XLSX, PDF reports).
• Calibration management module with pixel-to-metric mapping via reference scale bar import or stage micrometer input.
• Non-destructive overlay tools for comparative analysis: side-by-side image alignment, difference masking, and ROI-based intensity profiling.
• Export-ready metadata embedding: includes acquisition parameters, analysis settings, timestamp, and operator ID per dataset.

Sample Compatibility & Compliance

The LAMOS Master V3.0 supports analysis of diverse sample types—including powders, pharmaceutical granules, catalysts, metallurgical sections, polymer blends, and biological tissue sections—provided digital image inputs meet minimum resolution and contrast requirements (≥1 µm/pixel recommended for sub-10 µm feature quantification). While the software itself is not a physical measuring instrument subject to metrological certification, its analytical outputs are structured to align with ISO 13322-1:2020 (Particle size analysis — Image analysis methods — Part 1: Static image analysis) and ASTM E1245-22 (Standard Practice for Determining Particle Size Distribution of Metal Powders Using Image Analysis). Audit trails, user access logs, and parameter-locking features support GLP-compliant documentation practices; full 21 CFR Part 11 compliance requires integration with validated IT infrastructure (e.g., network authentication, electronic signatures, and immutable storage).

Software & Data Management

LAMOS Master V3.0 runs on Windows 10/11 (64-bit) with .NET Framework 4.8 and OpenGL 4.3 support. It employs a local SQLite database for project metadata and analysis history, with optional export to enterprise-grade SQL Server or PostgreSQL environments. All analysis protocols are saved as reusable .LAP files (LAMOS Analysis Protocols), enabling method transfer across laboratories without reconfiguration. Data exports include raw measurement tables, statistical summaries (mean, median, D10/D50/D90, standard deviation), and histogram visualizations with binning control. Version-controlled protocol libraries facilitate SOP adherence, while integrated checksum validation ensures data integrity during archival or migration.

Applications

• Pharmaceutical development: Quantifying granule size distribution and shape factors for blend uniformity assessment and tablet compression modeling.
• Materials science: Characterizing grain morphology in sintered ceramics, phase dispersion in composites, and dendritic growth patterns in solidified alloys.
• Geology & mining: Automated classification of mineral fragments in thin-section imagery for provenance studies and liberation analysis.
• Food science: Measuring starch granule geometry, fat globule aggregation, and air cell structure in aerated products.
• Quality assurance labs: Validating supplier-submitted micrographs against internal specifications using standardized, repeatable metrics.

FAQ

Is LAMOS Master V3.0 a standalone imaging device or software-only?
It is a software-only solution requiring external image acquisition hardware (e.g., microscope + camera). No integrated optics or sensors are included.
Does it support real-time video analysis?
No—V3.0 processes static image files only. Time-lapse sequence analysis must be performed frame-by-frame with batch automation.
Can analysis protocols be exported and shared between users?
Yes. Protocols (.LAP files) encapsulate all segmentation rules, measurement definitions, and export settings—enabling cross-laboratory method harmonization.
What level of technical support is provided after training?
Post-training support includes email-based troubleshooting, quarterly protocol optimization webinars, and access to version update notifications—not 24/7 remote assistance or on-site engineering.
Is source code or API access available for custom integration?
No. The platform does not expose public APIs or SDKs; integration is limited to file I/O and database export interfaces.