Digital Pathology Place

Digital Pathology Place Sharing the digital world of pathology journey with you. 🌐 https://bit.ly/DigitalPathology101Ebook
(1)

09/03/2026

Can you recognize an o***y by its repeating round structures?

Those structures are ovarian follicles at different stages of development—and they’re one of the strongest clues to this organ’s identity.

From the outside inward, look for:

* A simple cuboidal surface epithelium, historically called the germinal epithelium
* The tunica albuginea, a layer of dense irregular connective tissue beneath the surface
* The ovarian cortex
* Multiple follicles at different developmental stages within the cortex

This is a useful approach to unfamiliar histology slides: identify the outer layers first, then examine the structures organized within the tissue.

What slide or type of organ would you like me to show under the microscope next?

09/02/2026

Can you recognize a lymph node even when a tissue fold makes the slide harder to read?

The key is to look beyond the artifact and focus on the tissue architecture.

On this slide, I could see:

* Numerous small, round cells called lymphocytes
* Circular structures representing lymphoid follicles
* A repeating pattern typical of lymphoid tissue
* Architecture similar to a previously examined lymph node

Together, these features confirm the answer: this is a lymph node.

Tissue folds can distract you, but they don’t necessarily hide the organ’s overall pattern. Start with the cells, then step back and examine how they’re organized.

What slide or type of organ would you like me to show under the microscope next?

09/01/2026

Are we so focused on reaching a diagnosis that we sometimes stop asking better questions?

The answer isn’t always another scanner, AI model, or software platform.

As a pathologist, I’ve learned that curiosity makes me pause, look again,

question the expected pattern, and keep learning from what I see.

Technology can help us see, measure, and share more,

but curiosity keeps us from accepting the first answer too quickly.

What has curiosity helped you discover in your work? Tell me in the comments.

08/28/2026

After a month-long hiatus, we are back with “Histology Made Easy”, and this time we’re looking at muscle tissue under the microscope.

Can you tell skeletal, cardiac, and smooth muscle apart under the microscope?

In this “Histology Made Easy” Livestream, I’ll show you the key visual clues that make each type of muscle recognizable.

We’ll compare their cells, nuclei, striations, branching patterns, and overall organization.

We’ll also look at why the same muscle can appear completely different in cross and longitudinal sections.

Join me live on Friday, August 28, 2026, at 12 p.m. ET..

Watch on YouTube, LinkedIn, or Facebook:

Bring your questions and your best histology guesses.

Muscle tissue can look completely different depending on how it was cut.A longitudinal section may show long fibers and ...
08/27/2026

Muscle tissue can look completely different depending on how it was cut.

A longitudinal section may show long fibers and visible striations, while a cross

section can turn the same tissue into round or irregular profiles.

To recognize it, you don’t focus on one feature alone. You compare the nuclei,

striations, branching, cell shape, and tissue organization.

During the next “Histology Made Easy: Livestream, we’ll compare:

🔹Skeletal muscle
🔹Cardiac muscle
🔹Smooth muscle
🔹Cross and longitudinal sections

Join me on Friday, August 28, 2026, at 12 p.m. ET on YouTube, LinkedIn, or Facebook.

Watch live and tell me which type of muscle tissue is the hardest for you to recognize (Links in the comments)

08/26/2026

Is this tissue epithelial or mesenchymal—and why does that question matter?

Answering it first can quickly narrow the possibilities before you identify the organ.

When I examine an unknown histology slide, I ask whether the cells form a cohesive, brick-like wall or appear more loosely arranged.

In this slide, the important clues are:

* Cells arranged loosely rather than forming a cohesive epithelial sheet
* Numerous lymphoid cells with small, dark nuclei
* A capsule surrounding the tissue
* Rounded structures called lymphoid follicles
* Blood-filled vessels near the tissue

Together, these features point toward a lymphoid organ—most likely a lymph node.

This is a useful histology strategy: identify the basic tissue pattern first, then use the architecture to determine the organ.

What slide or type of organ would you like me to show under the microscope next?

08/25/2026

Can you recognize the liver if the portal triad isn’t perfectly sectioned?

The key is to read the overall architecture instead of waiting for a textbook-perfect field.

When I examine a liver slide, I first look for a central vein and follow the cords of hepatocytes radiating outward.

The main microscopic landmarks are:
🔹A central vein in the center of the hepatic lobule
🔹Cords or plates of hepatocytes radiating from the central vein
🔹Sinusoids between the hepatocytes where blood flows
🔹Portal triads at the periphery of the lobule
🔹A portal vein branch, hepatic artery branch, and bile duct within the portal triad

Real-life slides aren’t always perfect.

All three components of the portal triad may not appear in the same

plane of section, so sometimes you have to scan a larger area to find them.

Once you recognize the repeating pattern of central veins, hepatocyte cords,

sinusoids, and portal areas, the liver becomes much easier to identify.

What slide or type of organ would you like me to show under the microscope next?

hashtag hashtag hashtag hashtag

08/24/2026

Can you still recognize a kidney when autolysis has blurred almost every cellular detail?

The key is to step back from individual cells and examine the tissue architecture that remains.

This slide looked pink, fuzzy, and poorly defined.

I couldn’t reliably evaluate the nuclei or cell borders, but I could still recognize the organ from its overall organization.

The main clues were:

* Residual glomerular profiles
* Tubules surrounding the glomeruli
* A recognizable renal capsule
* The overall architecture of the tissue section

Compared with a well-fixed kidney, the difference is clear:

* The autolytic sample has indistinct nuclei and blurry cell boundaries.
* The well-fixed sample shows crisp nuclei, recognizable glomeruli, and clearly defined tubules.

Autolysis occurs when tissue begins to digest itself before fixation.

If it isn’t placed in formalin promptly, important microscopic detail can be lost even though the broader architecture remains visible.

This is why preanalytics matter in histology.

A pathologist may still recognize the organ but may not be able to evaluate its cellular details reliably.

What slide or type of organ would you like me to show under the microscope next?

08/24/2026

What happens when four years of protein-structure research can be

compressed into a few minutes?

AlphaFold can turn a protein sequence into a usable structural prediction,

giving researchers a powerful starting point without waiting years for

experimental results.

In this podcast clip, Thibault GEOUI, PhD, puts the scale of that change

into perspective.

He contrasts roughly 170,000 protein structures determined experimentally

over 50 years with the hundreds of millions of predicted structures now

available through AlphaFold.

What stayed with me is that speed doesn’t eliminate the value of

experiments—it changes which questions scientists can investigate first.

AlphaFold still has limitations, and its predictions won’t work equally well for

every protein or research problem.

This is where AI becomes genuinely useful in biomedical research: it expands

what scientists can explore while keeping scientific expertise and validation

at the center.

Watch or listen to my full conversation with Thibault Geoui, PhD, using the link in the first comment.

Where has AI removed a major research bottleneck in your work?

08/21/2026

What happens when cytopathology AI moves from curated examples to crowded cells - and when large language models enter the workflow?

In DigiPath Digest #51, I'll examine two 2026 papers on AI performance and responsible adoption.

In one study, six models achieved super high AUCs on scattered cervical cytology cells but only 0.385-0.683 on hyperchromatic crowded cell groups…

And an ASC review maps possible LLM uses in reporting, quality control, education, and workflow integration while emphasizing early evidence, hallucination risk, bias, privacy, and validation gaps.

Join me Friday, August 21, 2026, at 12 p.m. ET
on Facebook Live, LinkedIn Live, or YouTube Live.

Papers: https://doi.org/10.1002/cncy.70140 | https://doi.org/10.1002/cncy.70134

Address

3 Skyline Trl
Fairfield, PA
17320

Alerts

Be the first to know and let us send you an email when Digital Pathology Place posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.

Contact The Business

Send a message to Digital Pathology Place:

Shortcuts

Share