ADMIR develops a lensless infrared spectroscopic microscope that enables rapid biochemical analysis of tissue and cell samples without the use of chemicals, reducing analysis time from days to under one minute. This technology increases diagnostic accuracy from 75% to 93%, enhancing patient care and operational efficiency in healthcare and bioprocessing environments.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional methods for analyzing tissue and cell samples often involve time-consuming chemical processes, which can delay diagnoses and increase operational costs in healthcare and bioprocessing. These conventional techniques may also suffer from limitations in accuracy, potentially impacting patient care and the efficiency of research and development.
Solution
ADMIR offers a lensless infrared spectroscopic microscope that enables rapid and reagent-free biochemical analysis of tissue and cell samples. This technology significantly reduces analysis time from days to under one minute, accelerating workflows for pathologists, physicians, biologists, and biochemists. By eliminating the need for chemicals, stains, and biomarkers, the ADMIR instrument simplifies storage, reduces regulatory constraints, and lowers operational costs for laboratories and hospitals. The system also improves diagnostic accuracy, increasing the correct identification rate from 75% to 93% for better patient care and more reliable results.
Target Audience
The primary users are pathologists, physicians, biologists, and biochemists in healthcare, bioprocessing, and agri-food industries who require rapid, accurate, and cost-effective methods for tissue and cell sample analysis.
Features
- Lensless infrared spectroscopic microscope for rapid biochemical analysis
- Reagent-free operation, eliminating the need for chemicals, stains, and biomarkers
- Analysis time reduced to under one minute, compared to days with traditional methods
- AI-based software suite for simple, fast, and robust diagnosis and bioanalysis
- Increased diagnostic accuracy, with a correct identification rate of 93%
- Suitable for health applications, bioprocess, and agri-food process monitoring