An AI-assisted screening tool that enables cytotechnologists and pathologists to efficiently identify precancerous lesions and cancer cells in women.
Techcyte SureView™
Cervical Cytology System
Overview
Our automated cervical cancer screening solution classifies and counts the following objects (for a full list see below):
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.
Techcyte SureView™ aims to 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
- 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)
Supported Scanners
Supported Today
Hamamatsu S360
3DHistech P250, P1000
Motic EasyScan ∞
Motic EasyScan Pro
Motic One
Ask Us About
Grundium Ocus 40
MetaSystems Metafer5
Pramana M Pro, HT2, HT4
Features
- State-of-the-art platform
- Web-based digital workflow and AI platform for cervical cytology
- Digital slide and image viewer
- AI-proposed images of potential atypical cells and organisms
- Bethesda-compliant sample adequacy reporting
- Supports multiple 40x whole slide scanners