AUTOPAP(R) 300 QC AUTOMATIC PAP SCREENER/QC SYSTEM

Obstetrics & Gynecology Pathology

Not publicly available
Regulatory Status Disclosed

Overview

The AutoPap 300 QC System is an automated cervical cytology screening device by BD Diagnostics, designed for the analysis of conventionally prepared Papanicolaou (Pap) smear slides. Initially approved for quality control rescreening to identify false negatives, its indications were later expanded to include initial screening. In this capacity, it can identify up to 25% of successfully processed slides as requiring no further human review, while also flagging at least 15% for a second manual review. The system aims to detect evidence of squamous carcinoma, adenocarcinoma, and their usual precursor conditions, and is intended for use by trained cytology laboratory personnel under qualified supervision.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automated cervical cytology slide analysis
  • Identifies slides requiring no further manual review (up to 25%)
  • Identifies slides for a second manual review (at least 15%)
  • Designed for conventionally prepared Pap smear slides
  • Detects squamous carcinoma, adenocarcinoma, and precursor conditions
  • Utilizes image processing algorithms and morphometrics (e.g., nuclear and cytoplasmic area, optical density, shape)
  • Enhances false-negative detection rate in quality control rescreening
  • Assigns a score based on the likelihood of abnormality

Use Cases

  • Initial screening of Papanicolaou (Pap) smear slides
  • Quality control (QC) rescreening of cervical smears
  • Reducing false-negative rates in cervical cytology laboratories
  • Assisting trained cytology laboratory personnel in slide review

What Physicians Need to Know

Cervical Screening AI
The AUTOPAP(R) 300 QC AUTOMATIC PAP SCREENER/QC SYSTEM is an automated device designed for the analysis and quality control (QC) rescreening of conventionally prepared cervical cytology slides (Pap smears). It aims to detect potential false-negative cases that were initially screened as normal by cytotechnologists. The system selects an enriched population of cases for human quality control review, significantly increasing the detection rate of false negatives compared to random rescreening. Studies have shown it can significantly enhance the false-negative detection rate, particularly for low-grade squamous intraepithelial lesions (LSIL) and higher. Its high sensitivities to various abnormalities suggest its potential for use as a primary screening device for cervical cytology. The system utilizes standard image processing algorithms based on classic morphometrics, such as nuclear and cytoplasmic area, nuclear-cytoplasmic ratio, nuclear optical density, and nuclear shape, to classify slides. It received FDA approval for quality control purposes in 1995 and later for primary screening.
Physician Tip

Physicians should recognize that the AutoPap 300 QC System serves as an automated aid in the quality control process of Pap smear screening, improving the detection of potential false negatives. While the system significantly enhances the detection of false negatives, especially for squamous cell lesions, it's important to note that its sensitivity for glandular lesions may be lower, emphasizing the continued necessity of human review. This system helps optimize laboratory workload by identifying slides that require no further review and by enriching the population of slides needing a second manual review. It is intended for use with conventionally prepared Pap smear slides and should be operated by trained cytology laboratory personnel under appropriate supervision.

The AutoPap 300 QC System processes conventionally prepared and stained slides. It integrates into the existing cytology laboratory workflow by identifying slides for human quality control review, thereby complementing manual screening processes. The system assigns a numerical QC score to each slide based on a statistical classifier algorithm, which can then be used to direct cases for manual rescreening. The original AutoPap 300 QC system was later renamed the BD FocalPoint Slide Profiler, indicating its potential evolution or integration into broader BD diagnostic platforms.

Details

Category OB/GYN AI, Oncology AI, Pathology AI
Pricing Not publicly available
DeploymentOn-premise medical device/instrument system
Compliance
BAA AvailableUnknown AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status 1 AI-estimated

The AUTOPAP(R) 300 QC AUTOMATIC PAP SCREENER/QC SYSTEM received FDA Premarket Approval (PMA) P950009 on September 29, 1995, for quality control rescreening of cervical smears. A subsequent supplement in 1998 expanded its indication for use in initial screening of Papanicolaou (Pap) smear slides, allowing it to identify slides requiring no further manual review or those needing a second manual review.

Integrations
EHR Not specified
Specialties Obstetrics & Gynecology, Pathology

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Frequently Asked Questions

Yes, the AutoPapu00ae 300 QC Automatic Pap Screener/QC System received FDA approval for quality control purposes in 1995, and was later renamed the BD FocalPoint Slide Profiler. The AutoPapu00ae Primary Screening System is an automated cervical cytology screening device intended for use in initial screening of Papanicolaou (Pap) smear slides. It identifies up to 25% of successfully processed slides as requiring no further review and at least 15% for a second manual review.
The integration of AI-based systems like the AutoPap into laboratory workflows aims to enhance efficiency by automating routine tasks and assisting in identifying abnormal cells. While computer-assisted automated Pap test screening was an early success story in workflow integration, there is still a learning curve for staff and careful planning and training are required for successful implementation.
AI systems in healthcare must comply with relevant regulatory standards and guidelines to ensure safety and effectiveness, including data privacy regulations like HIPAA. Adhering to regulatory requirements and undergoing rigorous validation processes are vital for maintaining high standards in AI-assisted diagnostics. Concerns about data privacy are a known drawback of these advances.
While AI can significantly improve diagnostic accuracy and streamline workflows, it does not fully replace human intervention. AI models may lack interpretability, making it challenging to understand the rationale behind their predictions, and they require large, diverse datasets for training to minimize bias. The AutoPap system identifies slides for no further review or for a second manual review, indicating a continued role for human oversight.
Yes, other automated systems exist, such as the ThinPrep Imaging System and the BD FocalPoint GS Imaging System, which also use proprietary algorithms. More recently, the Hologic Genius Digital Diagnostics System, an AI-enabled digital cytology platform, has received FDA clearance, demonstrating enhanced sensitivity for early cervical cancer diagnosis. Additionally, HPV testing is emerging as a superior alternative to traditional Pap smears for cervical cancer screening, with some self-collection options gaining FDA approval.
The cost-effectiveness of automated cytology systems has been a subject of discussion, with some reviews indicating limitations, especially for low- and medium-developing countries. While specific pricing for the AutoPap system is not readily available, implementing AI into existing workflows requires considering the initial investment in equipment, IT infrastructure, and ongoing maintenance and training.

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Suggest an Edit → | Last Verified: 2026-04-17 | First Added: 2026-04-17
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