Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Player FM - Podcast App
Go offline with the Player FM app!

162: How Color Impacts Every Diagnosis |Color Calibration in Digital Pathology w/ Tom Kimpe (Barco) and Monika Lamba Saini

1:25:43
 
Share
 

Manage episode 506680644 series 3404634
Content provided by Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

What if up to 35% of the diagnostic color data on your pathology slides never reaches your eyes—just because of your monitor? In this episode, sponsored by Barco, I sit down with Dr. Monika Lamba Saini (ADC Therapeutics) and Tom Kimpe (Barco) to uncover why color calibration in digital pathology isn’t optional anymore—it’s critical for diagnosis, efficiency, and AI readiness.

Highlights:

  • [00:03:42] Monika’s path from CROs to biopharma and why color consistency matters in clinical trials.
  • [00:09:22] What “color science” means in pathology and why color is one-third of diagnosis.
  • [00:12:40] When the same tissue looks different across labs and scanners—and how this causes diagnostic conflicts.
  • [00:16:19] Why HER2 scoring and IHC rely on color intensity—and how poor color fidelity lowers diagnostic confidence.
  • [00:18:34] Research showing up to 35% of H&E slide colors fall outside of the sRGB color space—meaning you never see them on a standard monitor.
  • [00:22:23] Where the biggest sources of color variability occur across the imaging chain come from.
  • [00:26:26] Calibrated displays and pathologist speed—why confidence = faster reads.
  • [00:35:19] How monitors degrade over time and why calibration is essential.
  • [00:41:27] Why choosing a monitor based on price is short-sighted—and the real ROI of medical-grade displays.
  • [00:43:45] ICC profiles explained: the missing piece in end-to-end color consistency.
  • [00:52:48] Training pathologists on color literacy and internal calibration strategies.
  • [01:00:10] How color variability affects AI algorithm accuracy—up to a 30% drop if scanners differ.
  • [01:14:57] The role of professional societies in building color literacy and regulatory guidance.
  • [01:22:30] Final takeaways: if you’re skeptical about calibration, here’s why you should care.

Resources from this Episode

Digital Pathology 101 (by me, Dr. Aleksandra Zuraw) – Free PDF & Amazon print edition.
Support the show

Get the "Digital Pathology 101" FREE E-book and join us!

  continue reading

162 episodes

Artwork
iconShare
 
Manage episode 506680644 series 3404634
Content provided by Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

What if up to 35% of the diagnostic color data on your pathology slides never reaches your eyes—just because of your monitor? In this episode, sponsored by Barco, I sit down with Dr. Monika Lamba Saini (ADC Therapeutics) and Tom Kimpe (Barco) to uncover why color calibration in digital pathology isn’t optional anymore—it’s critical for diagnosis, efficiency, and AI readiness.

Highlights:

  • [00:03:42] Monika’s path from CROs to biopharma and why color consistency matters in clinical trials.
  • [00:09:22] What “color science” means in pathology and why color is one-third of diagnosis.
  • [00:12:40] When the same tissue looks different across labs and scanners—and how this causes diagnostic conflicts.
  • [00:16:19] Why HER2 scoring and IHC rely on color intensity—and how poor color fidelity lowers diagnostic confidence.
  • [00:18:34] Research showing up to 35% of H&E slide colors fall outside of the sRGB color space—meaning you never see them on a standard monitor.
  • [00:22:23] Where the biggest sources of color variability occur across the imaging chain come from.
  • [00:26:26] Calibrated displays and pathologist speed—why confidence = faster reads.
  • [00:35:19] How monitors degrade over time and why calibration is essential.
  • [00:41:27] Why choosing a monitor based on price is short-sighted—and the real ROI of medical-grade displays.
  • [00:43:45] ICC profiles explained: the missing piece in end-to-end color consistency.
  • [00:52:48] Training pathologists on color literacy and internal calibration strategies.
  • [01:00:10] How color variability affects AI algorithm accuracy—up to a 30% drop if scanners differ.
  • [01:14:57] The role of professional societies in building color literacy and regulatory guidance.
  • [01:22:30] Final takeaways: if you’re skeptical about calibration, here’s why you should care.

Resources from this Episode

Digital Pathology 101 (by me, Dr. Aleksandra Zuraw) – Free PDF & Amazon print edition.
Support the show

Get the "Digital Pathology 101" FREE E-book and join us!

  continue reading

162 episodes

Alla avsnitt

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play