SMART IMAGING TECHNOLOGIES web-pathology.net

Smart Cytology ScreeningGyn and Non-Gyn Appliations

Smarter Cytology Screening

Robust• System processes cells on entire slide

not just a number of selected fields of view

• Processing is done automatically on server within 2-5 minutes for 5,000 – 50,000 cells

Informative• Top 500 most abnormal cells are

presented to reviewer in the Instant Review Grid™

• Single click navigation from field to field

• Whole digital slide is always available

In US this IVD application is labeled "For Research Use Only. Not for use in diagnostic procedures“ by FDA regulations.

Smarter Cytology Screening

Convenient • Screening can be done

remotely via any web browser• System works with any digital

slide scanner

Versatile• System can process Gyn and

Non-Gyn Cytology samples• Works with any Liquid-Based

Cytology methods including the economical ClearPrep™ process

How it works

New slides are processed automatically on server. 2-5 minutes per slide depending on cell density

HIPPA-compliant notification is routed to a user when analysis is complete and slide is ready for review

User quickly reviews abnormal cells with Instant View Grid™ and completes diagnosis in a few clicks

Smart Cytology™ screening application processes new slides automatically in the background and sends notification to the user when analysis is complete

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Application SetupValidation and training of Smart IHC™ scoring application is quick and easy. System is trained automatically from slides with known diagnosis

• Upload slides with known diagnosis • 10 slides per biomarker is usually

sufficient

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• Annotate patterns with known score on some slides for training• Keep other slides without annotations (for

validation)

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• Validate that application scoring is correct for annotated areas• Validate application scoring for non-annotated slides• Keep validation sides, records and reports

In US Smart Cytology IVD application is labeled for "For Research Use Only. Not for use in diagnostic procedures“ by FDA regulation.

Analyzing Cytology Slides with Machine Learning Methods

Machine Learning algorithms learn to recognize images and patterns the same way humans do – by example, rather than by human-derived “handcrafted features” such as shape, size, brightness etc.

Adding Machine Learning methods to image analysis adds a number of benefits:• No need to formalize complex

“handcrafted features”, cytologist can just point to patterns they need to recognize

• No dependency on image analysis engineers (almost).

• System can be trained on variety of samples to achieve robust recognition

• New data samples can easily be added to a model to increase accuracy

The Science

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