Specim, a Konica Minolta company and provider of hyperspectral imaging, announces the launch of the Specim SX10, a new high-performance VNIR hyperspectral camera. As the second camera in the Specim SX series, the SX10 brings research-grade spectral precision into a fast, integration-ready hyperspectral camera platform.

Advanced hyperspectral applications increasingly require both detailed spectral information and imaging platforms that integrate easily into complete measurement systems. Covering the 400–1000 nm spectral range, the Specim SX10 combines a high spatial pixel count with excellent signal-to-noise performance and fine spectral resolution, enabling users to capture both spatial and spectral detail with high precision. At the same time, high-speed GigE connectivity and compatibility with Specim’s ecosystem of scanners and software provide the integration capabilities required for demanding imaging workflows in both research and industrial environments.

Compared with the Specim FX10, the SX10 provides three times more spectral bands and three times finer spectral sampling, enabling users to detect and analyze subtle spectral differences in greater detail. This supports demanding measurement and analysis tasks in applications such as thin-film characterization, detailed imaging of geological samples, food research, vegetation studies and cultural heritage preservation. 
Designed for flexibility across measurement setups, the SX10 supports multiple lens options and adjustable working distances. A macro lens option enables detailed imaging of small samples and fine features, extending the camera’s capabilities for demanding laboratory and close-range measurement applications.

The Specim SX10 features built-in Advanced Image Enhancement (AIE), delivering ready-to-use data directly from the camera. This significantly reduces the need for post-processing and helps accelerate hyperspectral imaging workflows from data acquisition to analysis. Unified spectral calibration aligns SX10 cameras to a common spectral reference, enabling consistent and repeatable measurements across multiple camera units. This is particularly valuable for multi-system research, distributed measurement setups and larger deployments where comparability of results between systems is essential.