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Inside the Lab

Inside the Lab Software and hardware

The (Pathology) IT Crowd?

| Coleman Stavish

What pathologists need to know about IT for digital transformation

Inside the Lab Oncology

Flexible Solutions With FlexVUE

| Sponsored by Ultivue

Quickly customize your immune panels with Ultivue’s new innovation

Inside the Lab Microbiology and immunology

Context Matters in Cancer Biology

| Sponsored by Akoya Biosciences

Akoya is leading the way with a novel class of biomarkers for improving patient outcomes

Inside the Lab Biochemistry and molecular biology

A Spatial Biology Startup Guide – Part 2

| Michael S. Nelson, Shawn Jensen, Lau Mai Chan, Michael Surace, Trevor McKee, Joe Yeong, Colt Egelston

The top 20 questions for establishing multiplex image analysis

Inside the Lab Biochemistry and molecular biology

A Spatial Biology Startup Guide – Part 1

| Michael Surace, Houssein A. Sater, Carlos Andrea, Jeffrey Chun Tatt Lim, Carmen Ballesteros-Merino, Jaime Rodriguez Canales, Joe Yeong

The top 20 questions for ensuring preanalytical quality control

Inside the Lab Technology and innovation

HIVE™: The Bees’ Knees of Single-Cell Technology

| Sponsored by PerkinElmer

The portable, handheld device delivering innovation to the single-cell genomics space

Inside the Lab Digital and computational pathology

All on the Same Page

| Sponsored by Paige

Paige’s FullFocus™ technology enables advanced viewing of slides, AI-mediated analysis, and collaborative examination of digital slides

Inside the Lab Digital and computational pathology

Feeling the Squeeze?

| Lorine Marcoux

Today’s pathologists must manage high caseloads and conflicting demands. Can digital solutions “bring to light more than the eye can see?”

Inside the Lab Quality assurance and quality control

Large-Scale Sample Quality Control of Genomic DNA

| Sponsored by Agilent

How a Biobank Ensured Quality for a Large-Scale Study

Inside the Lab Digital and computational pathology

Beyond Digital

| Aishwarya Khanduja, Charlene Tang

Understanding barriers in transforming pathology from digital to computational

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