Heidelberg Engineering is a global technology leader in ophthalmic diagnostic imaging. The company continuously optimizes not only imaging but also healthcare IT technologies to provide ophthalmic diagnostic solutions that empower clinicians to improve patient care. From its inception in 1990, Heidelberg Engineering has collaborated with scientists, clinicians and industry to develop innovative products that deliver clinically relevant benefits.
Uncompromising quality and education play a large part in fostering the diagnostic confidence that has become synonymous with the global brand. The company’s substantial expertise in the development and implementation of intelligent image and data management solutions complements its distinguished history in the design, manufacture and distribution of ophthalmic diagnostic instruments.
Heidelberg
Engineering’s growing product portfolio combines these core technologies:
confocal microscopy, scanning lasers and optics, optical coherence tomography
(OCT), real-time image processing and analytics, multimodal image management
solutions (PACS), electronic medical records (EMR) and large-scale data
analysis. www.heidelbergengineering.com
Every step of the way, Heidelberg Engineering has fostered a strong
collaboration with scientists and clinicians to identify new biomarkers and develop
innovative technologies that ultimately improve patient care. For this reason,
the company acknowledges the patient- and disease-driven mindset of the IT-DED3
project and gladly supports the research objective of accelerating new
therapies and biomarkers in the field of Dry Eye Disease (DED). As an
international company with a high focus on education, Heidelberg Engineering
also cherishes being part of the multidisciplinary European research and
training network.
Scientific timeline summarizing Heidelberg Engineering’s contribution to research. Navigate here: https://www.heidelbergengineering.com/int/our-history/
Heidelberg Engineering was happy to work with Md Asif Khan Setu – doctoral student under the supervision of Prof. Dr. Philipp Steven, from the eye clinic of the University Hospital Cologne – on several AI analysis tools. The Heidelberg Engineering team looks forward to further publications on the highly relevant DED-parameters that the automated methods of Md Asif Setu's research are able to provide.