Gigapixel Imaging Applications

Enable engineers and QC teams with the ability to inspect, measure, and document components with gigapixel clarity across large areas. It’s ideal for identifying defects, verifying tolerances, and communicating findings across manufacturing workflows.

• Surface finish and tool-mark inspection

• Failure analysis and fracture documentation

• PCB/component examination

• Comparative documentation for supplier QA

Image geological samples at gigapixel resolution without losing context: grain-scale structure and mineral texture stay legible in the same frame as the whole specimen, with cross-polarization and backlighting resolving features standard lighting does not reach. Callan Bentley’s open Historical Geology textbook, launched in 2021, is built on exactly this — thousands of gigapixel images of hand samples, thin sections and fossils.

• Thin sections under cross-polarization and backlighting

• Hand samples and outcrop fragments

• Fossil morphology and microtexture

• Petrographic comparison and mineral identification

• Core cross-sections at full length

From sub-millimeter wasps to dragonflies, pinned or preserved in ethanol, Magnify2 handles the range in one workflow — focus stacking for depth, tile stitching for size, and the specimen’s labels captured alongside it. CSIRO has completed around 11,000 of 19,000 primary types; the Field Museum has captured over 130 whole drawers toward a 7-million-specimen collection.

• Whole-drawer imaging with automated specimen cropping

• Pinned specimens and ethanol-preserved wet collections

• Type specimen documentation to publication grade

• Specimen labels captured in the same pass as the specimen

• Focus stacking and tile stitching, sub-millimeter to full wingspan

Create seamless, high-resolution images of long tree cores and cross-sections, making growth rings and micro-features easy to study, annotate, and archive.

• Full-length tree core imaging

• Growth ring measurement and annotation

• Resin canal and cell structure analysis

• Digital archiving and collaboration datasets

Enable museums to document delicate or complex objects with high detail and minimal handling. It supports curation, conservation, research, and public-access initiatives.

• Archival digitization of natural history specimens

• Condition reporting and conservation documentation

• Artifact surface and microfeature analysis

• Large-specimen imaging without repositioning

• Online-access gigapixel image creation for exhibits

Magnify2 supports research labs, classrooms, and multidisciplinary studies by producing detailed, sharable images for analysis, publications, and teaching materials.

• High-resolution datasets for publications

• Lab teaching specimens and interactive materials

• Multidisciplinary sample documentation

• Collaborative digital datasets for remote learning

Magnify2 provides the ultra-high-resolution, consistent, and repeatable imaging needed to build high-quality training datasets for computer vision and AI models. Its automated capture, precise positioning, and large imaging area make it ideal for generating labeled datasets that require fine detail and consistent imaging conditions.

• High-resolution training data for defect-detection models

• Synthetic dataset creation from annotated gigapixel images

• Automated multi-position capture for consistent sample variation

• Dataset generation for segmentation, classification, and measurement tasks

• Cross-polarized and multi-lighting captures for robust model training

Magnify2 enables forensic teams to document and examine evidence with exceptional clarity while preserving both micro-scale detail and overall context. Its large imaging area and consistent lighting make it ideal for capturing trace evidence, tool marks, impressions, and fragile samples without repeated handling.

• Tool mark and surface impression analysis

• Fiber, hair, and trace evidence documentation

• High-resolution imaging of fractured materials

• Bullet casing and land comparisons

• Gigapixel evidence records for courtroom presentation