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Quality assurance and quality control

Inside the Lab Digital and computational pathology

A Call for Color Calibration

| Richard Salmon

Accurate color representation is vital for digital imaging in histopathology – but how can viewers ensure that colors are correct and consistent?

Inside the Lab Quality assurance and quality control

Protecting Patients from Prions

| Aaron Schieving

When medical supplies contain products of human or animal origin, they risk potential contamination with potentially fatal prion diseases

Inside the Lab Digital and computational pathology

The Art of Algorithms

| Pranav Pramod Patwardhan

Pranav Patwardhan believes that all pathologists should develop an algorithmic approach to everyday slides and samples to maintain a logical workflow

Inside the Lab Digital and computational pathology

Think Before You (Don't) Print

| Tormod Schüßler

Specimen misidentification is not uncommon in pathology – but specialized printing solutions can reduce the likelihood of error

Outside the Lab Clinical care

The “We” in Team

| Judith Hugh

What exactly is a multidisciplinary team – and what is the pathologist’s role in it?

Inside the Lab Clinical care

Leading the Pack

| Marisa Saint Martin

Pathologists hold the key to diagnostic management teams – and diagnostic management teams have a lot to contribute to patient care

Outside the Lab Clinical care

A Question of Cancers

| John Srigley

The ICCR works with pathologists and groups worldwide to develop standardized guidelines for the diagnosis and reporting of various cancer types

Outside the Lab Digital and computational pathology

Journey to the Center of the Digitization Dilemma

| Alec Hirst

Digital pathology can increase laboratory efficiency – and it’s easier than you may think!

Inside the Lab Laboratory management

Caring, Concern, and Consistency

| Tim Woods

Quality matters, especially when it comes to pathology and laboratory medicine

Diagnostics Analytical science

Garbage In, Garbage Out

| Carolyn Compton

Preanalytical variability can be a hidden danger in skewing test results. What's the best way to detect and overcome it?

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