Clemex Particle Size Analysis Module

Image-based particle size analysis uses microscopy images to directly measure individual particle dimensions, giving you actual size, shape, and morphology data for every particle detected. Laser diffraction (ISO 13320) infers size from light scattering patterns and assumes spherical geometry, making it unsuitable for elongated, irregular, or agglomerated particles. Image analysis is the only method that simultaneously delivers size and shape information, making it the preferred approach for non-spherical powders, fibers, cells, and any sample where morphology matters.

Image analysis: size and shape, not just size.

Yes. This is one of the most critical capabilities in real-world particle analysis. Threshold-based methods treat touching particles as a single object, drastically underestimating count and overestimating size. Clemex's deep learning segmentation model was trained specifically on touching and overlapping particle scenarios. It recognizes individual particle boundaries even in dense, clustered samples, delivering accurate per-particle measurements regardless of packing density.

No more merged particles, no more inflated sizes.

For every detected particle, Clemex computes a comprehensive set of descriptors: Min and Max Feret diameter, area, perimeter, D10 / D50 / D90 distribution percentiles, circularity, aspect ratio, convexity, roundness, and solidity. These metrics are computed per-particle and aggregated statistically across the full population, including confidence intervals and relative accuracy, in a single automated report.

8+ metrics per particle, fully automated.

Clemex's Particle Size Analysis module handles a wide spectrum of real-world microstructures in a single module, without switching models or reconfiguring settings. Supported types include: metal and ceramic powders (atomized, sintered, crushed), pharmaceutical granules and API particles, abrasives and geological materials, biological cells and blood smears, fiber cross-sections (composites, textiles), liquid-suspended particles and emulsions, and bubbles or voids in coatings and foams. Industries served include materials science, powder metallurgy, pharma & biotech, aerospace, electronics, and quality control labs.

One module, every particle type.

Manual and semi-manual particle counting is inherently operator-dependent. Two analysts measuring the same image routinely report different results. Clemex's fully automated AI pipeline eliminates subjectivity entirely: the same image always produces the same segmentation, the same measurements, and the same report, regardless of who runs the analysis, on what machine, or in which lab. Clemex is ideal for inter-laboratory studies, audit-ready QC workflows, and regulated environments.

100% operator-independent, every time.

No. This is a key differentiator from conventional image analysis software. Traditional tools require the user to manually set intensity thresholds, adjust contrast, or define detection parameters for every new sample type, a slow and error-prone process. Clemex's AI model was trained on a large and diverse dataset of particle images and applies automatically to your samples from day one, with no per-material tuning required.

Zero configuration. Load images, get results.

Yes. Clemex's Particle Size Analysis module follows the methodology defined in static image analysis standards. Measurement parameters, statistical outputs, and report formatting are aligned with standard requirements. Every generated report includes traceable methodology and standard references, making it suitable for regulatory submissions, quality audits, and research publication.

Standards built into the pipeline.

Real-world particle images are rarely ideal. Liquid-suspended particles create bright halos; rough surfaces produce uneven illumination; background noise mimics small particles. Clemex's deep learning model was trained on diverse, real-world conditions, not just clean lab images. It distinguishes true particles from artifacts based on morphological context, not just intensity values, enabling reliable detection even on noisy, low-contrast, or optically complex samples.

Trained on real-world images, not just ideal ones.

Yes. Clemex supports fully automated batch processing. You define the analysis once, and the module applies it across any number of images without operator intervention. Results are aggregated across the batch and a consolidated report is generated automatically, ideal for high-throughput quality control environments, production line inspection, or large-scale research studies where hundreds of images need to be processed consistently.

From one image to thousands, same workflow.

Clemex is fully hardware-agnostic. The Particle Size Analysis module works with any microscope or imaging system that produces standard digital image files, optical, SEM, fluorescence, or brightfield, from any manufacturer. There is no proprietary hardware requirement or vendor lock-in. If your system captures images, Clemex can analyze them.

Your hardware. Clemex intelligence.

Peer-reviewed research using Clemex particle size analysis software: View citations on Google Scholar →