{"product_id":"rl-series-hyperspectral-imager","title":"Laboratory Hyperspectral Imager | RL Series","description":"\u003cdiv class=\"nwspec-product-guide\" style=\"font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; max-width: 1200px; margin: 0 auto; color: #121212; background: #ffffff; padding: 20px;\"\u003e\n\n  \u003c!-- Description Section --\u003e\n  \u003cdiv class=\"section\" style=\"margin-bottom: 28px;\"\u003e\n    \u003ch2 style=\"font-size: 17px; font-weight: 700; border-bottom: 2px solid #121212; padding-bottom: 8px; margin-bottom: 14px; letter-spacing: -0.2px; font-family: 'Inter', sans-serif;\"\u003eDescription\u003c\/h2\u003e\n    \u003cp style=\"font-size: 14px; line-height: 1.7; margin: 0; color: #333;\"\u003eThe Laboratory Hyperspectral Imager is a high-performance instrument specifically engineered for laboratory applications. Its core dispersive spectral module is independently developed by Hangzhou Hyperspectral and supports a wide range of optional imaging sensors. When paired with ultra-high-resolution cameras, it achieves the perfect balance of high spatial resolution and high spectral fidelity. For enhanced precision, the system can be configured with our proprietary linear light source and specially designed darkroom enclosure, minimizing environmental interference during sample testing. Combined with our unique spatio-temporal radiometric calibration technology, the NWH8000 Series delivers stable, standardized hyperspectral data ideally suited for advanced scientific analysis.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- Features Section --\u003e\n  \u003cdiv class=\"section\" style=\"margin-bottom: 28px;\"\u003e\n    \u003ch2 style=\"font-size: 17px; font-weight: 700; border-bottom: 2px solid #121212; padding-bottom: 8px; margin-bottom: 14px; letter-spacing: -0.2px; font-family: 'Inter', sans-serif;\"\u003eFeatures\u003c\/h2\u003e\n    \u003cul style=\"list-style: none; padding: 0; margin: 0; font-size: 14px; line-height: 1.8;\"\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eHigh-Performance Camera System:\u003c\/strong\u003e Large-aperture, high light-gathering optics, supporting advanced CMOS sensors and optional high-end CCD sensors\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eUniform Illumination:\u003c\/strong\u003e Wide, homogeneous line or beam light source matched to the camera field of view ensures full dataset coverage\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003ePrecision Calibration:\u003c\/strong\u003e Supports both spectral and spatial calibration for enhanced measurement accuracy\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eHigh-Resolution Hyperspectral Imaging:\u003c\/strong\u003e Captures detailed spatial images combined with rich spectral data for comprehensive multi-dimensional analysis\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eRapid Scanning \u0026amp; Data Management:\u003c\/strong\u003e Enables fast acquisition of large datasets with convenient storage and processing\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eAutofocus Function:\u003c\/strong\u003e Automatically adjusts focus based on sample thickness, ensuring consistently sharp images\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eReal-Time Processing:\u003c\/strong\u003e Provides real-time collection, analysis, and storage of hyperspectral data\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eStandardized, Stable Data:\u003c\/strong\u003e Generates calibrated hyperspectral datasets optimized for precise scientific research\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eAdaptive Autofocus \u0026amp; Elevation Adjustment:\u003c\/strong\u003e Maintains clarity across varying sample thicknesses\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eTime-Based Spectral Optimization:\u003c\/strong\u003e Automatically suggests acquisition times based on sample reflectance, improving spectral quality\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eSoftware Compatibility:\u003c\/strong\u003e Fully compatible with third-party analysis software such as ENVI\u003c\/span\u003e\n      \u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- Applications Section --\u003e\n  \u003cdiv class=\"section\" style=\"margin-bottom: 28px;\"\u003e\n    \u003ch2 style=\"font-size: 17px; font-weight: 700; border-bottom: 2px solid #121212; padding-bottom: 8px; margin-bottom: 14px; letter-spacing: -0.2px; font-family: 'Inter', sans-serif;\"\u003eApplications\u003c\/h2\u003e\n    \u003cul style=\"list-style: none; padding: 0; margin: 0; font-size: 14px; line-height: 1.8;\"\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eForensic Science \u0026amp; Document Examination:\u003c\/strong\u003e Evidence, seals, signatures, alterations, inks, printed materials, certificates, fingerprints\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eFood \u0026amp; Agriculture:\u003c\/strong\u003e Fruits, vegetables, meat, grains, tea leaves\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eMaterial Sorting:\u003c\/strong\u003e Tobacco, pharmaceuticals\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eAuthentication \u0026amp; Verification:\u003c\/strong\u003e Cultural relic identification, gemstone and jewelry analysis\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"margin-bottom: 6px; display: flex; align-items: flex-start; gap: 8px;\"\u003e\n        \u003cspan style=\"color: #334fb4; font-weight: 700; flex-shrink: 0;\"\u003e—\u003c\/span\u003e\u003cspan\u003e\u003cstrong\u003eTraditional Medicinal Materials:\u003c\/strong\u003e Non-destructive identification of honeysuckle and mountain honeysuckle\u003c\/span\u003e\n      \u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- Order Guide Table --\u003e\n  \u003cdiv class=\"section\" style=\"margin-bottom: 28px;\"\u003e\n    \u003ch2 style=\"font-size: 17px; font-weight: 700; border-bottom: 2px solid #121212; padding-bottom: 8px; margin-bottom: 14px; letter-spacing: -0.2px; font-family: 'Inter', sans-serif;\"\u003eOrder Guide\u003c\/h2\u003e\n    \u003ctable style=\"width: 100%; border-collapse: collapse; font-size: 13px; border: 1px solid #ddd; font-family: 'Inter', sans-serif;\"\u003e\n      \u003cthead\u003e\n        \u003ctr style=\"background: #242833; color: #ffffff;\"\u003e\n          \u003cth style=\"padding: 10px 12px; border: 1px solid #3a3f4a; text-align: left; font-weight: 700; font-size: 11px; text-transform: uppercase; letter-spacing: 0.5px;\"\u003eProduct No.\u003c\/th\u003e\n          \u003cth style=\"padding: 10px 12px; border: 1px solid #3a3f4a; text-align: left; font-weight: 700; font-size: 11px; text-transform: uppercase; letter-spacing: 0.5px;\"\u003eModel\u003c\/th\u003e\n          \u003cth style=\"padding: 10px 12px; border: 1px solid #3a3f4a; text-align: left; font-weight: 700; font-size: 11px; text-transform: uppercase; letter-spacing: 0.5px;\"\u003eSpectral Range\u003c\/th\u003e\n          \u003cth style=\"padding: 10px 12px; border: 1px solid #3a3f4a; text-align: left; font-weight: 700; font-size: 11px; text-transform: uppercase; letter-spacing: 0.5px;\"\u003eDetector\u003c\/th\u003e\n          \u003cth style=\"padding: 10px 12px; border: 1px solid #3a3f4a; text-align: left; font-weight: 700; font-size: 11px; text-transform: uppercase; letter-spacing: 0.5px;\"\u003eMax FR\u003c\/th\u003e\n          \u003cth style=\"padding: 10px 12px; border: 1px solid #3a3f4a; text-align: left; font-weight: 700; font-size: 11px; text-transform: uppercase; letter-spacing: 0.5px;\"\u003eApplication\u003c\/th\u003e\n        \u003c\/tr\u003e\n      \u003c\/thead\u003e\n      \u003ctbody\u003e\n        \u003ctr style=\"background: #ffffff;\"\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; font-weight: 700; color: #334fb4;\"\u003e423-336\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; font-weight: 600; color: #121212;\"\u003eRL-10-U\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003e400–1000 nm\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003eCCD\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003e128 fps\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003eStandard lab bench, forensic analysis\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"background: #f3f3f3;\"\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; font-weight: 700; color: #334fb4;\"\u003e423-337\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; font-weight: 600; color: #121212;\"\u003eRL-10-S\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003e400–1000 nm\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003eCCD\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003e80 fps\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003eLightproof darkroom, high-res 24MP camera\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"background: #ffffff;\"\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; font-weight: 700; color: #334fb4;\"\u003e423-338\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; font-weight: 600; color: #121212;\"\u003eRL-30-U\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003e900–1700 nm\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003eInGaAs\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003e300 fps\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003eSWIR lab analysis, 5MP camera\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"background: #f3f3f3;\"\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; font-weight: 700; color: #334fb4;\"\u003e423-339\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; font-weight: 600; color: #121212;\"\u003eRL-30-S\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003e900–1700 nm\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003eInGaAs\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003e300 fps\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003eHigh-res SWIR, 24MP camera, CameraLink\u003c\/td\u003e\n        \u003c\/tr\u003e\n        \u003ctr style=\"background: #ffffff;\"\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; font-weight: 700; color: #334fb4;\"\u003e423-340\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; font-weight: 600; color: #121212;\"\u003eRL-50-U\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003e1000–2500 nm\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003eHgCdTe\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003e340 fps\u003c\/td\u003e\n          \u003ctd style=\"padding: 10px 12px; border: 1px solid #e8e8e8; color: #333;\"\u003eExtended MWIR, 40MP camera\u003c\/td\u003e\n        \u003c\/tr\u003e\n      \u003c\/tbody\u003e\n    \u003c\/table\u003e\n  \u003c\/div\u003e\n\n\u003c\/div\u003e","brand":"NWSPEC","offers":[{"title":"RL-10-U","offer_id":47498558275803,"sku":null,"price":44000.0,"currency_code":"USD","in_stock":true},{"title":"RL-10-S","offer_id":47498558308571,"sku":null,"price":67000.0,"currency_code":"USD","in_stock":true},{"title":"RL-30-U","offer_id":47498558341339,"sku":null,"price":69000.0,"currency_code":"USD","in_stock":true},{"title":"RL-30-S","offer_id":47498558374107,"sku":null,"price":74000.0,"currency_code":"USD","in_stock":true},{"title":"RL-50-U","offer_id":47498558406875,"sku":null,"price":89000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0766\/1722\/0315\/files\/NWH8000.png?v=1753765973","url":"https:\/\/nwspec.com\/products\/rl-series-hyperspectral-imager","provider":"NWSPEC","version":"1.0","type":"link"}