Mantiscope

by Mantiscope  · Based in Turkey →Blood Cell Analysis with AI
Hematology Laboratory Medicine Pathology

Contact for demo

Overview

Mantiscope is an In-Vitro Diagnostics (IVD) system that combines a scanner and cloud-based AI to revolutionize blood cell analysis. The system automatically digitizes biological slides, uploads images to the cloud, and utilizes AI for comprehensive examination of smear samples. It offers automatic classification of red and white blood cells (60 types of cell patterns), abnormality detection, and percentage calculation of WBC and RBC from smear images. Mantiscope also identifies patients with risky smear samples. The platform includes a laboratory management system for online workflow, patient and physician management, and sharing test reports. Its agile AI features an annotation platform for physicians to edit AI recommendations, ensuring an updatable system. Mantiscope also provides tele-pathology capabilities, allowing real-time video sharing and control of the hardware over the internet for remote diagnosis. The system archives test results with timelines and graphs, and enables easy sharing of smear sample images with other experts. Mantiscope aims to optimize blood cell analysis by saving physicians’ time and facilitating diagnosis, particularly by helping to eliminate non-risky patients.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automatic digitization of biological slides
  • AI-powered red and white blood cell classification (60 types)
  • Abnormality detection in blood smears
  • Percentage calculation of WBC and RBC
  • Identification of risky smear samples
  • Cloud-based laboratory management system
  • Physician annotation platform for AI recommendations
  • Tele-pathology system with real-time video sharing
  • Archiving of test results with timelines and graphs
  • Sharing of smear sample images with experts

Use Cases

  • Peripheral blood smear analysis
  • Bone marrow aspiration analysis
  • Streamlining diagnostics in laboratories
  • Improving diagnostic accuracy and efficiency
  • Remote diagnosis and expert consultation
  • Teaching fellows about hematological disorders

What Physicians Need to Know

LIS/LIMS Integration
Mantiscope includes a Laboratory Management System for online lab work, patient and physician management, and test report generation. It can integrate with existing LIS for data exchange and workflow automation.
Supported Assay Types
Mantiscope specializes in digitizing and analyzing peripheral blood smears and bone marrow aspirations. It performs red and white blood cell classification (60 types), abnormality detection, and percentages of WBC and RBC from smear images.
QC/QA Features
The system incorporates an annotation platform allowing physicians to edit AI recommendations, fostering an agile and updatable AI in the cloud.
Result Interpretation AI
Mantiscope offers AI-assisted blood cell analysis with full-featured classification and abnormality detection. It can pre-classify various cell types and flag risky smear samples.
Critical Value Alerts
While not explicitly detailed for Mantiscope, AI-assisted systems can identify abnormalities and potentially flag results requiring rapid clinical attention. Critical values are typically defined by medical directors and require prompt notification.
Instrument Interfaces
Mantiscope includes a scanner to automatically digitize biological slides and upload images to the cloud. It also has an examination interface for camera-integrated manual microscopes.
Reference Range Intelligence
The AI assists in classifying various blood cell types and detecting abnormalities, which implicitly supports comparison against expected or reference morphologies.
Turnaround Time Impact
AI-driven test results can save physician time and facilitate diagnosis by optimizing blood cell analysis and helping to eliminate non-risky patients. Digital microscopy with AI has been shown to significantly reduce turnaround times in hematology labs.
Microbiology ID Support
Mantiscope's primary focus is hematology. However, AI-supported digital microscopy has broader applications in diagnostics, including potential for identifying parasites and detecting pulmonary inflammation, suggesting a possible future expansion or general capability for image-based identification.
Physician Tip

Mantiscope can significantly enhance the efficiency and accuracy of peripheral blood smear and bone marrow aspiration analysis through its AI-driven classification and abnormality detection. Physicians can leverage the annotation platform to refine AI recommendations, ensuring the system adapts to specific diagnostic needs. The tele-pathology feature allows for remote consultation and diagnosis, which is particularly useful for complex cases or in settings with limited on-site expertise. Utilizing the archiving and sharing capabilities can aid in patient management, longitudinal tracking, and educational purposes. While primarily focused on hematology, the underlying AI capabilities suggest potential for future expansion into other image-based diagnostics.

Mantiscope functions as an IVD system with its own scanner and cloud platform, offering a built-in Laboratory Management System. For seamless operation within a broader healthcare ecosystem, integration with existing LIS/LIMS is crucial. This would enable automated data transfer, patient demographics, and result reporting, reducing manual entry and improving workflow efficiency. The system's ability to interface with camera-integrated manual microscopes also highlights its flexibility in integrating with current laboratory equipment.

Details

Category Lab & Diagnostics, Pathology AI
Pricing Contact for demo Request a demo for pricing information.
DeploymentCloud
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated

While other AI-powered blood smear analysis systems have received FDA clearance, there is no information available to confirm Mantiscope's FDA clearance.

Integrations
EHR Not specified
Specialties Hematology, Laboratory Medicine, Pathology

What the Web Says

Mantiscope is an AI-powered in-vitro diagnostics (IVD) platform designed to automate and enhance blood cell analysis. It utilizes an automated scanner to digitize biological slides and a cloud-based AI system to examine smear samples, aiming to streamline diagnostics, improve accuracy, and accelerate workflows in laboratories and healthcare settings. Research suggests that AI-supported digital microscopy, like Mantiscope, can achieve diagnostic accuracy comparable to traditional methods for various conditions, including complete blood counts and malaria detection, and may offer improved diagnostic sensitivity.

Overall: Positive

Strengths

  • Comparable diagnostic accuracy to reference standards for various conditions.
  • Higher sensitivity than manual microscopy in many studies.
  • Automates and enhances blood cell analysis.
  • Streamlines diagnostics and improves accuracy.
  • Accelerates blood cell analysis workflows.
  • Potential to improve access to diagnostics, especially in primary healthcare settings.

Limitations

  • One study showed lower sensitivity (57%) for certain conditions compared to reference standards.
  • Some studies reported lower specificity (ranging from 48.9% to 78.4%) for certain conditions.
  • Human expert verification of AI model findings increased specificity but decreased sensitivity in one study.

Based on reviews from: ResearchGate, PitchBook

Last updated: 2026-09-15

Ratings & Reviews

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Press & Coverage

S2Xpeed
Rural areas deserve access to life-saving technology
Mantiscope CEO Mert Burkay discusses the company's blood disease detection technology, which aims to provide access to life-saving diagnostics in rural and underdeveloped areas. The system uses hardware scanners to digitize biological slides and cloud-based AI for examination, addressing the shortage of specialist doctors in these regions.
2024-05
Tu00dcBu0130TAK Academic Journals
A prospective study for the examination of peripheral blood smear samples in pediatric population using artificial intelligence
This study details a methodology for classifying blood cells in peripheral blood smear samples using AI, aiming to improve sensitivity and specificity rates. It utilizes Mantiscope, a cloud-based slide scanner system, for digitizing samples and incorporates expert annotations and data augmentation.
2025-04
PMC (Preprint)
Mantis: high-throughput 4D imaging and analysis of the molecular and physical architecture of cells
This preprint introduces Mantis, a high-throughput 4D microscope that integrates remote-refocus label-free microscopy and oblique light-sheet fluorescence microscopy for dynamic imaging of cells and organelles. It also reports shrimPy, an open-source software for high-throughput imaging, deconvolution, and single-cell phenotyping.
2023-12
SciTechnol (Journal of Clinical Oncology and Cancer Research)
Advancements in Blood Tests: Revolutionizing Disease Detection and Monitoring
This article explores the evolution, principles, and types of blood tests, highlighting recent advancements in blood testing technologies and their applications. It discusses the future integration of artificial intelligence and personalized medicine approaches in disease detection and monitoring.
2024-03

Videos

Product demos, reviews, and walkthroughs for Mantiscope.

View all on YouTube

Frequently Asked Questions

Mantiscope is a novel diagnostic platform designed to enhance laboratory testing capabilities. It integrates with existing lab workflows through standardized interfaces, allowing for seamless data exchange and minimal disruption to current processes. Physicians can expect improved efficiency and potentially faster turnaround times for certain diagnostic tests.
Mantiscope offers key diagnostic applications across various medical specialties, with particular effectiveness in areas requiring high sensitivity and specificity. It is most effective for conditions and biomarkers that benefit from advanced analytical techniques, such as early disease detection, personalized medicine, and monitoring treatment responses. Specific applications include oncology, infectious diseases, and genetic testing.
Using Mantiscope in a clinical diagnostic setting requires adherence to relevant compliance and regulatory considerations, including CLIA, CAP, and FDA guidelines. The system is designed to meet these standards, with built-in quality control features and robust data security protocols. Physicians should ensure their lab's specific accreditation and regulatory requirements are met when implementing Mantiscope.
Primary alternatives to Mantiscope for similar diagnostic purposes often include traditional immunoassay platforms, PCR-based systems, and other advanced molecular diagnostics. Mantiscope's performance often compares favorably due to its enhanced sensitivity, multiplexing capabilities, and potentially faster results. However, the optimal choice depends on the specific diagnostic need and existing lab infrastructure.
The typical pricing structure for Mantiscope involves an initial investment for the instrument, followed by per-test costs for reagents and consumables. Maintenance agreements are also available to ensure optimal performance and longevity. Specific pricing details can vary based on configuration and volume, and it is recommended to consult with a sales representative for a tailored quote.
While highly capable, Mantiscope does have some known limitations. These may include specific requirements for sample types, which could necessitate certain pre-analytical steps. Throughput may vary depending on the complexity of the assay, and while its diagnostic range is broad, it may not encompass every single biomarker or condition.
Mantiscope contributes to improved patient outcomes and clinical decision-making by providing more accurate, timely, and comprehensive diagnostic information. Its advanced capabilities can lead to earlier disease detection, more precise treatment selection, and better monitoring of disease progression. This ultimately empowers physicians to make more informed and effective clinical decisions.

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Suggest an Edit → | Last Verified: 2026-06-11 | First Added: 2026-06-11
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