Microscopes Are Stupid

The Diagnosis Problem

Conventional microscopes cannot autonomously diagnose disease—they are tools for observation requiring expert interpretation. What if microscopes themselves could diagnose? The Auto Diagnostic Assistant (ADA) project from NYU Tandon School of Engineering aims to enable this through digital imaging and machine learning.

ADA: Affordable Digital Microscopy

ADA is an extremely low-cost microscope accessory that turns a standard microscope into a digital imaging tool capable of creating whole-slide images (WSIs). It accomplishes the same tasks as expensive whole-slide imaging devices at a fraction of the cost, making it ideal for biohackers and resource-limited laboratories.

Connected Global Laboratory Network

The team's mission is to connect every laboratory in the world into a global network for specimen image sharing, study, and analysis. This distributed approach enables rapid consultation, collaborative research, and standardized diagnostic processes across geographic boundaries.

Technical Implementation

The team comprises hardware engineers, software developers, and machine learning specialists. They have validated accuracy through preclinical studies and presented research at the United States and Canadian Anatomical Pathology Conference (USCAP).