Digital Pathology Place

Digital Pathology Place Sharing the digital world of pathology journey with you. 🌐 https://bit.ly/DigitalPathology101Ebook
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06/22/2026

Still getting lost when muscle starts looking like one big pink bundle?

A good place to start is not every single fiber. It is the grouping.

I’m looking for fascicles first, then for the connective tissue around them.

That is the pattern that helps the slide start making sense.

On a real section, it is not always perfect.

Sometimes the perimysium is easy to appreciate,

and sometimes you have to work a little harder for it.

But once you start thinking in groups instead of isolated fibers,

the structure gets easier to read.

What to look for:

🔹bundles of fibers grouped into fascicles
🔹connective tissue around the fascicles
🔹connective tissue around the whole muscle
🔹the pink connective tissue that helps separate the structure

That is one of the best ways to make histology feel less overwhelming.

Find the organization first. Then the details start falling into place.

Watch the full video here: https://youtu.be/2QZ1HSgREIo?si=RSogd4XiuMvP5lhE

06/19/2026

Can pathology foundation models really handle clinical reality?

In this livestream, I’ll walk through a 2026 review of pathology foundation models and why this topic matters now.
The paper maps the field from early architectures like CLAM and HIPT to newer large-scale models such as UNI, Virchow, CONCH, GigaPath, TITAN, and Mayo Atlas.
What I find more useful is where the paper gets critical: benchmarking is inconsistent, generalization across institutions is hard, interpretability still lags behind pathology needs, and important blind spots remain in
- cytopathology,
-hematopathology,
-transplant pathology,
-and rare tumors.
We’ll also talk about why the next step is not just bigger models, but pathologist-in-the-loop systems, better multimodal integration, and prospective clinical validation.

� June 19, 2026
� 6 a.m., EST
� Live on YouTube, LinkedIn, Instagram, and Facebook
Article: https://doi.org/10.3390/bioengineering13050577

Can pathology foundation models really handle clinical reality?That is the question behind this livestream. I’ll be talk...
06/18/2026

Can pathology foundation models really handle clinical reality?

That is the question behind this livestream. I’ll be talking about a 2026 review that

maps the field from CLAM and HIPT to UNI, Virchow, CONCH, GigaPath, TITAN,

and Mayo Atlas, but the more useful part is where the paper gets critical.

It argues that the hard problems are still benchmarking, generalization across

institutions, interpretability, workflow fit, and the subspecialty areas these models

still do not handle well, including cytopathology, hematopathology, transplant

pathology, and rare tumors.

For me, that is the more important conversation.

Not just what these models can do, but what has to be true before they can be trusted in practice.

📅 June 19, 2026
🕒 6 a.m., EST
📍 Live on YouTube, LinkedIn, Instagram, and Facebook

Links in the first comment.

06/18/2026

Back for another round of Histology Study With Me. �

Last time, we turned slide labeling into a live guessing game. This time, we’re doing it again with another set of histology slides that need to be identified, named, and sorted.

I’ll put each scanned slide on screen without the label, talk through what I’m seeing, guess the tissue live, and then reveal the matching glass-slide answer. You can play along in the chat and see if your eye catches the pattern before I do.

This is part study session, part recognition practice, and part real slide-library organization — so by the end, we’ll have another set of cases sorted into useful histology collections.

No pressure to stay the whole time. Drop in, test yourself on a few slides, and leave when you need to.

� June 18, 2026
� 6:00 AM EST
� Streaming on LinkedIn, YouTube, and Facebook

This is part of the Histology Made Easy series. Follow so you don’t miss the next round

06/17/2026

Are you explaining complex topics in a way people can actually follow?

That starts with respecting your audience’s intelligence

without assuming they already know the terms.

This is something I think about all the time.

If you are in healthcare, you are smart.

But you may not have the prior knowledge in pathology,

computer vision, or AI that makes a new concept immediately clear.

And honestly, the same applies to me. I’m a pathologist.

When I talk about AI or computer vision, I still need to go back,

review the terms, and keep updating my own knowledge base.

That is the standard I try to hold for Digital Pathology Place:

explain things clearly, without talking down to people

and without pretending the learning curve is not real.

Watch the full episode here: https://www.youtube.com/live/Bzx3NRfxVbM?si=RPxw8iz0mcbjST9k

We’re doing another round of Histology Study With Me.If you liked the idea of turning slide labeling into a live guessin...
06/17/2026

We’re doing another round of Histology Study With Me.

If you liked the idea of turning slide labeling into a live guessing game, this next session builds on that. I’ll show each histology slide with the name hidden, talk through what I’m seeing, make my guess live, and then reveal the glass-slide answer.

You can guess along in the chat and test how quickly you recognize the tissue pattern.

What I like about this format is that it makes histology practice feel more like real slide reading and less like passive review. We’re not just looking at labeled examples. We’re figuring them out live.

Join me on June 18, 2026, at 6:00 AM EST on LinkedIn, YouTube, and Facebook.

Drop in anytime — join link in comments

06/16/2026

Why do companion diagnostics get harder exactly when the biomarker matters most?

Because you are not only developing the drug. You are also building,

validating and moving the diagnostic assay through regulation

at the same time.

That is one of the biggest things I took from the discussion with Doug Bowman from Indica Labs

With ADCs and companion diagnostics, the science is only part of the story.

You also need analytical validation, clinical validation, documentation,

and constant back-and-forth between the pharma team, the diagnostic

partner, and the regulatory agency.

To me, this is a good reminder that biomarker development is not just a lab problem.

It is a coordination problem too.

Watch the full discussion here: https://youtu.be/egff-0K-Owk?si=ljjPi2WN8vXLN5-L

06/15/2026

Still missing the striations even when they’re right in front of you?

A good place to start is the edge of the tissue, where the pattern often

becomes easier to appreciate once the focus is right.

I’m slowing it down and looking for those little rib-like lines first.

Once you see them, the tissue starts making much more sense.

What to look for:

striations as repeating fine lines
clearer visibility at the tissue edge
good focus before you decide what you’re seeing
pattern first, details second

That is one of the easiest ways to make histology feel less overwhelming.

Don’t try to identify everything at once.

Find the feature that anchors you first.

Watch the full video here: https://youtu.be/2QZ1HSgREIo?si=RSogd4XiuMvP5lhE

And if you want more histology like this, we’ll be having another Histology Live on

Thursday, June 18, 2026. Follow for more details.

06/13/2026

People often talk about digital pathology like it arrived all at once.

It didn’t.

It was built slowly, case by case, slide by slide, by people who kept finding better
ways to teach, share, and learn.

Before digital pathology, pathology education depended a lot on physical access.

One microscope.
One room.
One set of cases.

That meant your exposure was limited by where you were and who was there with you.

What changed the field was not only hardware. It was access.

Once whole-slide imaging and cloud-based case sharing became practical,
pathology learning stopped being confined to one institution at a time.

That shift made it possible to learn from more cases, more teachers,
and more perspectives across the world.

That is why I keep saying this: the real driver of digital pathology adoption is education.

Train digitally, and practicing digitally starts to make sense too.

If you want more insights on pathology and digital pathology, follow along.

06/13/2026

Previously Live: Pull up a chair and study with me. 🔬

I've got ~100 scanned histology slides that need labeling, so I'm doing it live — and turning it into a game. I'll look at each slide without the name, try to recognize the tissue myself, then reveal the answer from the matching glass slide to see if I got it right.

You play along in the chat: call your guess before I reveal.
By the end we'll have every slide named and sorted into collections by my histology checklist topic — so this is a working session that builds something genuinely useful for anyone studying histology or prepping for boards.

No pressure to stay the whole time. Drop in, test yourself on a few slides, head out when you need to. It's part study session, part guessing game, part me getting my slide library organized with good company :)

This is part of the Histology Made Easy series. Hit the bell so you catch us live — first guesses in the chat win bragging rights.

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