Test methods for the aqueous and lipid layers have been developed to test for tear film abnormalities that are the cause of dry eye, but there is currently no suitable test method for the mucin layer.
The Tear Film
Tear film structure: lipid layer, aqueous layer, mucin layer
Our founding group developed the world’s first imaging technology for “goblet cells” in the mucin layer, and developed core technologies for diagnosing ophthalmic diseases using this technology. Based on this, we are developing commercialized equipment and diagnostic drugs, and further developing a diagnostic system for diseases other than dry eye syndrome by introducing an image AI analysis model.
Applications of Technology
Developing the world's first mucin layer goblet cell imaging technology
Developing core technologies that can be used to diagnose various ophthalmic diseases, including dry eye
Goblet cells are a reliable biomarker of dry eye
It also plays an important role in maintaining immune tolerance, and can be expanded to other disease diagnosis technologies based on this.
Goblet Cell Test
Goblet Cell Test that was difficult to analyze in the past
Non-invasive high-precision analysis technology
Expanding the possibility of identifying the cause and suggesting treatment direction with accumulated data
Autoimmune diseases
Sjögren’s Syndrome GVHD (Graft vs Host Disease) etc. exist
Severe goblet cell density reduction appears
–
–
Dry eye
Ophthalmic diseases with the highest incidence
Multifactorial diseases caused by tear film abnormalities
–
–
Additional functions of goblet cells revealed
Study on the function and role of goblet cells in the mucin layer and their relationship to disease: As our technology enables full-scale observation of goblet cells, the development of this field is expected to accelerate.
Extension of imaging methods based on moxifloxacin
Study on the function and role of goblet cells in the mucin layer and their relationship to disease: As our technology enables full-scale observation of goblet cells, the development of this field is expected to accelerate.
Expanding application of video AI technology
In the biomedical field, image data and AI are combined to increase accuracy and efficiency, and the scope of application is expected to expand.
Expansion of application areas
As learning data and clinical data accumulate, there are various expansion possibilities linked to medical measures such as identifying correlations and causes of various diseases and suggesting treatment directions beyond simple examinations. Application areas of specific cell staining and imaging technology can be expanded.