{"id":7,"date":"2025-08-04T20:25:47","date_gmt":"2025-08-04T18:25:47","guid":{"rendered":"https:\/\/blogs.urz.uni-halle.de\/greensight\/?page_id=7"},"modified":"2026-01-25T01:51:13","modified_gmt":"2026-01-25T00:51:13","slug":"home","status":"publish","type":"page","link":"https:\/\/blogs.urz.uni-halle.de\/greensight\/","title":{"rendered":"GreenSight \u2013 Smart Monitoring for Algal Biotechnology"},"content":{"rendered":"\n

GreenSight<\/a><\/strong> develops advanced tools to monitor microalgae in real time. We address the limitations of current biotechnology by combining optical sensors with AI-driven data analysis. Our goal is to make algal cultivation for energy, food, and environmental protection more efficient and scalable.<\/p>\n\n\n\n

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The Technology<\/strong><\/h4>\n\n\n\n

We develop distributed sensor systems that continuously track water quality and algal physiology. Unlike standard methods that require manual sampling, our sensors record parameters\u2014such as light scattering, temperature, CO\u2082, and pH\u2014automatically and continuously.<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Non-Invasive and Contactless<\/strong><\/h4>\n\n\n\n

Our core innovation is a multi-channel optical sensor designed to measure *through*<\/em> the walls of photobioreactors. This allows us to classify algal cultures based on their spectral fingerprints without direct contact. This approach eliminates contamination risks and reduces the need for tedious manual measurements.<\/p>\n\n\n\n

From Lab to Industry<\/strong><\/h4>\n\n\n\n

We work at the intersection of biology, engineering, and data science. By feeding high-resolution sensor data into machine learning models, we can characterize growth dynamics and stress factors that traditional methods miss. We aim to provide a blueprint for autonomous, scalable biotechnological infrastructures.<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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GreenSight develops advanced tools to monitor microalgae in real time. We address the limitations of current biotechnology by combining optical sensors with AI-driven data analysis. Our goal is to make algal cultivation for energy, food, and environmental protection more efficient and scalable.<\/p>\n","protected":false},"author":5263,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0,"_vp_format_video_url":"","_vp_image_focal_point":[]},"_links":{"self":[{"href":"https:\/\/blogs.urz.uni-halle.de\/greensight\/wp-json\/wp\/v2\/pages\/7"}],"collection":[{"href":"https:\/\/blogs.urz.uni-halle.de\/greensight\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.urz.uni-halle.de\/greensight\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.urz.uni-halle.de\/greensight\/wp-json\/wp\/v2\/users\/5263"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.urz.uni-halle.de\/greensight\/wp-json\/wp\/v2\/comments?post=7"}],"version-history":[{"count":10,"href":"https:\/\/blogs.urz.uni-halle.de\/greensight\/wp-json\/wp\/v2\/pages\/7\/revisions"}],"predecessor-version":[{"id":340,"href":"https:\/\/blogs.urz.uni-halle.de\/greensight\/wp-json\/wp\/v2\/pages\/7\/revisions\/340"}],"wp:attachment":[{"href":"https:\/\/blogs.urz.uni-halle.de\/greensight\/wp-json\/wp\/v2\/media?parent=7"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}