Slide Scanner - Histology

What is a Slide Scanner?

A slide scanner in histology is a device used to digitize glass slides containing tissue sections. By converting these physical slides into high-resolution digital images, slide scanners facilitate easier analysis, sharing, and storage of histological data. These digital slides can be viewed and analyzed on a computer screen, often with the aid of specialized software.

How Does a Slide Scanner Work?

Slide scanners use advanced optics and image capture technology to create digital representations of histological slides. The process typically involves placing the glass slide into the scanner, which then uses a combination of brightfield, fluorescence, or other imaging techniques to capture the tissue details. The resulting images are then stitched together to form a comprehensive digital slide that replicates the original.

What Are the Benefits of Using Slide Scanners in Histology?

Enhanced Visualization: Digital slides can be zoomed in and out, allowing for detailed examination of tissue structures.
Improved Collaboration: Digital slides can be easily shared with colleagues and specialists around the world, facilitating more effective consultations.
Efficient Storage: Digital slides eliminate the need for physical storage space, reducing the risk of damage or loss.
Advanced Analysis Tools: Many slide scanners come with software that includes features like image analysis, annotation, and measurement tools.
Educational Applications: Digitized slides can be used for teaching and training purposes, providing students with access to high-quality histological images.

What Types of Slide Scanners Are Available?

Slide scanners vary in their capabilities and intended uses. Some common types include:

Brightfield Scanners: These are the most common and are used to capture images of slides stained with standard histological dyes.
Fluorescence Scanners: Designed to capture images of slides stained with fluorescent markers, often used in research applications.
Multimode Scanners: These versatile scanners can capture both brightfield and fluorescence images, making them suitable for a wide range of applications.
High-Throughput Scanners: Ideal for large laboratories, these scanners can process multiple slides automatically, increasing efficiency.

What Are the Challenges Associated with Slide Scanners?

While slide scanners offer many benefits, they also present some challenges:

Cost: High-quality slide scanners can be expensive, which may be a barrier for smaller labs.

Relevant Publications

Canine Cerebrospinal Fluid Analysis Using Two New Automated Techniques: The Sysmex XN-V Body Fluid Mode and an Artificial-Intelligence-Based Algorithm.

Issue Release: 2024

A Machine Learning Algorithm Improves the Diagnostic Accuracy of the Histologic Component of Antibody Mediated Rejection (AMR-H) in Cardiac Transplant Endomyocardial Biopsies.

Issue Release: 2024

Evaluating Urine Cytology Slide Digitization Efficiency: A Comparative Study Using an Artificial Intelligence-Based Heuristic Scanning Simulation and Multiple-Z-Plane Scanning.

Issue Release: 2024

Automated Whole Slide Imaging for Label-Free Histology using Photon Absorption Remote Sensing Microscopy.

Issue Release: 2024

A comprehensive AI model development framework for consistent Gleason grading.

Issue Release: 2024

Prediction of Mismatch Repair Status in Endometrial Cancer from Histological Slide Images Using Various Deep Learning-Based Algorithms.

Issue Release: 2024

Assessment of Color Reproducibility and Mitigation of Color Variation in Whole Slide Image Scanners for Toxicologic Pathology.

Issue Release: 2024

Optimizing the management of thyroid specimens to efficiently generate whole slide images for diagnosis.

Issue Release: 2024

Next-generation lung cancer pathology: Development and validation of diagnostic and prognostic algorithms.

Issue Release: 2024

Sliding Window Optimal Transport for Open World Artifact Detection in Histopathology.

Issue Release: 2024

Algorithm-assisted diagnosis of Hirschsprung\'s disease - evaluation of robustness and comparative image analysis on data from various labs and slide scanners.

Issue Release: 2024

Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting.

Issue Release: 2024

A highly accurate and semi-automated method for quantifying spherical microplastics based on digital slide scanners and image processing.

Issue Release: 2024

Comparison of Sysmex XN-V body fluid mode and deep-learning-based quantification with manual techniques for total nucleated cell count and differential count for equine bronchoalveolar lavage samples.

Issue Release: 2024

Continuous specimen cooling during slicing and thickness measurement contributes to improved accuracy in image analysis of pathologic specimens.

Issue Release: 2024

Glomerular Diameter Measurements on Light Microscopy: A New Parameter Available to Pathologists and its Utility in IgA Nephropathy.

Issue Release: 2024

Slide-block: End-to-end amplified security to improve DevOps resilience through pattern-based authentication.

Issue Release: 2024

[DIGITAL PATHOLOGY IN THE LENS OF TRANSLATIONAL MEDICINE - A BRIEF OVERVIEW AND A LOOK INTO THE FUTURE].

Issue Release: 2024

Development of a multi-scanner facility for data acquisition for digital pathology artificial intelligence.

Issue Release: 2024

Whole-Slide Imaging (WSI) Versus Traditional Microscopy (TM) Through Evaluation of Parameters in Oral Histopathology: A Pilot Study.

Issue Release: 2024

How Does Histology Relate to Obesity Studies?

How Can Team Morale Be Improved?

What Are the Implications of Genetic Factors on Neuronal Survival?

Can Histological Changes Occur Without Symptoms?

What is Genetic Instability?

What is Shielding in Histology?

What are Common Techniques Used in Histology?

What Are Biochemical Tests in Histology?

What Makes Histological Data Complex?

How Do Genetic Factors Influence Tissue Structure?

Partnered Content Networks

Relevant Topics