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In-depth reading on digital pathology, AI-assisted diagnostics, and modern laboratory workflow.
Frozen Sections: Speed, Safety and Communication
Run a fast, safe frozen section service: workflow steps, cryostat biosafety, read-back communication, and quality checks like frozen-permanent review.
Role-Based Access Control in Laboratory Software
How to design role-based access control in laboratory software: defining roles, least privilege, residents and locums, break-glass access and access reviews.
How to Choose an Anatomic Pathology LIS
How to choose an anatomic pathology LIS: requirements to define, demo scripts, questions on security, integration and data ownership, and mistakes to avoid.
Stain Variation and Normalization: Why It Matters for AI
Stain variation and normalization explained for pathology AI: what causes color differences, how normalization and augmentation work, and where they fail.
Planning Storage for Whole Slide Images: Capacity, Tiers and Cost
Plan whole slide image storage with confidence: estimate capacity, choose hot, warm and archive tiers, set retention rules and keep long-term costs in check.
Cytology in the Digital Era: Workflow and Challenges
A guide to the digital cytology workflow: where scanning helps, why z-stacks and sparse cells are hard, and how to validate before primary diagnosis.
Is the Cloud Safe for Patient Data? A Lab Manager's Checklist
A cloud security checklist for laboratories: what to ask about data location, encryption, access, backups, assurance and exit before choosing a vendor.
Improving Efficiency in the Histology Lab, from Embedding to Staining
Improve histology lab efficiency from processing to staining: fix batch timing, embedding bottlenecks, microtomy errors and recuts without losing quality.
Bias and Generalization in Pathology AI Models
Bias and generalization in pathology AI: why models fail on new scanners, stains and populations, how to detect it early, and what labs can do about it.
Validating Digital Pathology for Primary Diagnosis
Validating digital pathology for primary diagnosis: how to design the study, select cases, manage washout and discordances, and keep the evidence audit-ready.
Managing the Immunohistochemistry Workflow
Manage the immunohistochemistry workflow from order to report: structured requests, controls, reagent traceability, validation, status tracking and KPIs.
Thailand's PDPA and Patient Data in the Laboratory
A practical guide to Thailand's PDPA for pathology labs: mapping patient data, legal bases for health data, access, sharing, retention and breach response.