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Related Concept Videos

Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...

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Related Experiment Video

Updated: May 18, 2026

Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System
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Evaluating Urine Cytology Slide Digitization Efficiency: A Comparative Study Using an Artificial Intelligence-Based

Jen-Fan Hang1,2, Yen-Chuan Ou3, Wei-Lei Yang4

  • 1Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.

Acta Cytologica
|April 22, 2024
PubMed
Summary

A novel heuristic scan method using AI significantly reduces scanning time and file size for digital cytology slides. This approach maintains high cell coverage rates, improving accuracy in diagnosing urothelial carcinoma.

Keywords:
Artificial intelligenceDigital cytopathologyHeuristic scanMultiple Z-planes scanUrine cytologyWhole-slide image

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Area of Science:

  • Digital pathology
  • Cytopathology
  • Artificial intelligence in medicine

Background:

  • Digitizing 3D cytology slides is challenging due to cell distribution and depth.
  • Multi-Z-plane scanning is a solution but causes long scan times, large files, and complex review.
  • Existing methods hinder clinical adoption of digital cytopathology.

Purpose of the Study:

  • To introduce and evaluate a heuristic scan method as an AI-driven alternative to multi-Z-plane scanning for cytology slides.
  • To compare the heuristic scan's efficiency and accuracy against conventional scanning techniques.
  • To assess the impact of heuristic scanning on the interpretation of urothelial carcinoma cells.

Main Methods:

  • Developed an AI-based heuristic scan simulation for cytology slide scanning.
  • Compared heuristic scan with 21 Z-plane scans on 52 urine cytology slides across three cytopreparations.
  • Analyzed cell coverage, scanning time, file size, and AI-aided interpretation accuracy.

Main Results:

  • Heuristic scan achieved comparable SHGUC+ cell coverage rates to 5 Z-plane scans (0.78-0.91 vs. 0.75-0.88).
  • Significantly reduced scanning time (137.2-635.0s vs. 332.6-1,278.8s) and file size (0.51-2.10GB vs. 1.16-3.10GB).
  • Demonstrated higher accuracy in AI-aided interpretations compared to single Z-plane scans (62.5% vs. 37.5%).

Conclusions:

  • Heuristic scan is a cost-effective alternative to multi-Z-plane scanning in digital cytopathology.
  • It offers comparable cell capture efficiency with reduced time and file size.
  • The method shows promise for improving the accuracy of digital urine cytology interpretations.