Product

Cervical Cytology System

An AI-assisted screening tool that enables cytotechnologists and pathologists to efficiently identify precancerous lesions and cancer cells in women.

Overview

Our Cervical Cytology System is a revolutionary screening tool that helps cytotechnologists and pathologists read Hologic ThinPrep® or BD SurePath™ slides more efficiently by significantly reducing the amount of cells to review by presenting the most diagnostically relevant cells and/or organisms using our AI-based algorithm, lab-optimized workflow, and LIS integration.

Our automated cervical cancer screening solution classifies and counts the following objects (for a full list see below):

Pre-Cancerous lesions

Cervical Cancer cells

Organisms

Challenges & Solutions

Using current methods, cytotechnologists are expected to review, on average, 40,000 – 50,000 cells per slide.

Battling eye strain, fatigue, distractions, intense workloads and operator biases, their efforts are more prone to human error. AI however doesn’t get overworked or tired and delivers consistent results. Our software presents the most diagnostically relevant images to the cytotechnologist for efficient review.

Our Cervical Cytology System can help laboratories perform cervical cytology tests with increased consistency, in better working conditions.

How it works

4-step process:

Create slides

Technologists prepare slides using the BD SurePath™ or Hologic ThinPrep® systems.

Scan slides

Technologists load slides into the chosen scanner. Slides are then scanned and the resulting images are automatically uploaded to the Techcyte platform for AI analysis. We accept any good-quality 40x image from a compatible scanner (for a list of compatible scanners, see below). Scanning takes around 3 minutes*.

* Scan times will vary by scanner and settings used.

Process images

Our AI algorithm uses a convolutional neural network to identify differentiating features and determine which combinations indicate diagnostically significant objects. It then places them into the most likely classification and displays them in order of atypia for review. This algorithm is deterministic, making the same classification every time it is shown the same image. The whole process takes just minutes.

Review results

A cytotechnologist or pathologist logs into Techcyte on any web-enabled device* and reviews available scans, determining specimen adequacy and evaluating the results for diagnostic relevancy. They can also add notes and request a secondary consult.

*We recommend a 27” 99% RGB monitor for scan viewing

Cells & Organisms Identified

*These claims have not been examined by the FDA.

Atypical Squamous Cells of Undetermined Significance (ASCUS)
Low-Grade Intraepithelial Lesion (LSIL)
Atypical Squamous Cells Cannot Exclude a High-Grade Lesion (ASC-H)
High-Grade Intraepithelial Lesion (HSIL)
Carcinoma

Trichomonas Vaginalis
Clue Cells
Actinomyces Spp.
Herpes Simplex
Neutrophils

Atrophy
Reactive
Radiation
Endometrial

Atypical Glandular – NOS
Typical Endocervical Cell
Atypical Glandular – Favor Neoplastic
Endocervical Adenocarcinoma In Situ
Adenocarcinoma (endocervical, endometrial, extrauterine, NOS)