Digital Pathology

Empowering Diagnostics Through Digital Innovation

Explore

Enroll now for early access of e-LMS

MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Moderate

DURATION
4 Weeks

About

Digital pathology represents a major shift in diagnostic medicine, offering improved efficiency, scalability, and accessibility. This course begins by examining the transition from analog to digital pathology, exploring critical components such as slide scanners, image acquisition systems, and integration with Laboratory Information Management Systems (LIMS). Participants will gain insight into telepathology and the development of automated pipelines for diagnostic workflows, leveraging artificial intelligence and metadata-driven image analysis.

Building upon this foundation, the course delves into various imaging modalities—brightfield, fluorescence, and multispectral imaging—while emphasizing image quality control and reproducibility. It also covers computational processing techniques like tissue segmentation and feature extraction. The final segment focuses on interpreting digital pathology data using advanced computational techniques, including scoring algorithms and semantic markup for diagnostics. This program is ideal for learners aiming to be at the forefront of the digital healthcare revolution.

Aim

This course aims to provide learners with a comprehensive understanding of the digital transformation in pathology. From slide digitization and imaging standards to computational analysis and diagnostic interpretation, the program is designed to equip participants with the tools and frameworks essential for modern pathological workflows. It bridges the gap between laboratory practices and technological innovation, emphasizing quality, automation, and digital integration for scalable and AI-driven healthcare systems.

Program Objectives

Understand the components and workflows of digital pathology systems
Evaluate and compare various imaging modalities used in pathology
Apply quality assurance protocols to ensure reproducibility and standardization
Perform computational image processing for tissue segmentation and feature analysis
Interpret digital pathology data using advanced computational frameworks

Program Structure

Week 1: Digital Systems and Workflow Architecture

Transition from analog to digital pathology platforms
Components of digital imaging and slide scanners
Integration with LIMS
Telepathology and automated diagnostic pipelines

Week 2: Imaging Modalities and Quality Protocols

Brightfield, fluorescence, and multispectral imaging comparison
Optical and computational factors in image quality
Standards for image reproducibility in labs
Global QA practices for imaging validation

Week 3: Computational Image Processing

Resolution enhancement and artifact reduction
Intensity normalization and color consistency
Tissue segmentation via algorithms
Feature extraction: morphological and textural

Week 4: Machine Intelligence in Pathology Interpretation

CNNs and ensemble models in image analysis
AI model deployment for scoring and classification
Multi-class classification and diagnostic modeling
Evaluation metrics, ethics, and translational issues

Intended For

Students pursuing or holding a degree in Pathology, Biomedical Engineering, Biotechnology, Computer Science, or related fields.
PhD Scholars and Researchers working in digital pathology, AI in healthcare, or biomedical image analysis.
Industry Professionals from healthcare, bioinformatics, pharmaceutical R&D, diagnostics, or medical imaging sectors.
Aspiring Learners interested in applying AI, machine learning, and digital health tools in pathology and diagnostics.

Program Outcomes

Develop a working knowledge of digital pathology systems and components
Compare imaging modalities and evaluate image quality protocols
Implement computational techniques to enhance and standardize pathology images
Perform tissue segmentation and extract diagnostic features from images
Understand diagnostic modeling and its role in digital healthcare transformation

Fee Structure

Standard Fee: INR ~~9,998~~ USD ~~150~~

Discounted Fee: INR 4999 USD 75

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies