Micron

Affordable and automated mobile-based microscopy

 

An affordable and automated alternative to conventional microscopes, tailored to effectively support microscopy-based diagnosis in areas with limited access to healthcare services.

 

Motivation:

Neglected tropical diseases (NTDs) affect over 1.5 billion of the world’s poorest population. Microscopic examination is the gold standard for the diagnosis of several NTDs, but reliable diagnosis in rural endemic areas is often limited by lack of trained personnel and adequate equipment. Consequently, NTDs are commonly misdiagnosed and people receive inadequate treatment.

 

Solution:

FhP-AICOS has been performing research in the field of Mobile Microscopy since 2013, which started with the development a fully automated 3D-printed smartphone microscope, termed μSmartScope. Through the usage of a motorized automated stage fully powered and controlled by a smartphone, the μSmartScope allows autonomous acquisition of microscopic images, with the ultimate goal of decreasing the burden of manual microscopy examination.

The μSmartScope also aims to reduce dependence on experts in microscopy diagnosis available on-site, by allowing straightforward integration with Artificial Intelligence (AI). Particularly, computer vision modules can be easily embedded in the μSmartScope framework to support the diagnosis of target pathologies.

 

Benefit:

The μSmartScope has already been tested for NTDs like Malaria, Chagas, Cervical Cancer and Microfilaria. It was demonstrated that is possible to distinguish those agents on the acquired images, which clearly illustrates the huge potential of μSmartScope to support microscopy diagnosis in medically-underserved regions.

In addition, an AI-powered version of the μSmartScope is being developed for the automated detection of malaria, with already reported results of 73.9-96.2% sensitivity and 92.6%-99.3% specificity, using a dataset of 566 malaria-infected thin blood smear images.

Highlighted Projects

 

DEMalariaScope

A mobile-based solution that aims to provide an effective pre-diagnosis of Malaria to be used in medically underserved areas.

 

MpDs

A mobile solution that addresses the various needs of collecting and processing medical images in order to support diagnostic in
several clinical contexts.

 

CLARE

A novel framework that can be used as a Decision Support System (DSS), using
computer vision and machine-learning
approaches, for the screening of Cervical Cancer.

Further information

 

Relevant Services

 

Rapid Prototyping

Innovation Studies

Education & Training 

 

Relevant Publications

 

Rosado L., Silva P.T., Faria J., Oliveira J., Vasconcelos M.J.M., Costa J.M.C., Elias D., & Cardoso J. (2018). μSmartScope: Towards a Fully Automated 3D-printed Smartphone Microscope with Motorized Stage. In Biomedical Engineering Systems and Technologies, 19-44. Read here

Rosado L., Costa J., Elias D., & Cardoso J. (2017). Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination. Sensors, 17. Read here