Maria Theiss
@murriwurri.bsky.social
970 followers 390 following 4 posts
I analyze images. Specialist Postdoc at Image Analysis Collaboratory, Havard Medical School. Views my own. She/Her
Posts Media Videos Starter Packs
murriwurri.bsky.social
That's not a two-headed calf, that's two one-bodied calves :-)
murriwurri.bsky.social
Now on YouTube! Yay!

Talley Lambert (PhD): Simulating realistic light microscopy images using microsim
Reposted by Maria Theiss
hms-iac.bsky.social
‼️3 days left to apply to the Boston Bioimage Analysis Course (BoBiAC)! 💻

Get started w/Python & learn to analyze fluorescence microscopy images — no programming experience required!

Fee waivers available!

🗓️ Apply by June 1st!
🌐 iac.hms.harvard.edu/bobiac/2025/
murriwurri.bsky.social
Happening soon!
Love simulations? This talk is for you.
Hate simulations? This talk is for you.
Indifferent? Yep, still for you.
hms-iac.bsky.social
We are proudly hosting

𝐃𝐫. 𝐓𝐚𝐥𝐥𝐞𝐲 𝐋𝐚𝐦𝐛𝐞𝐫𝐭 @talley.codes (CITE, Harvard Medical School):

𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐧𝐠 𝐫𝐞𝐚𝐥𝐢𝐬𝐭𝐢𝐜 𝐥𝐢𝐠𝐡𝐭 𝐦𝐢𝐜𝐫𝐨𝐬𝐜𝐨𝐩𝐲 𝐢𝐦𝐚𝐠𝐞𝐬 𝐮𝐬𝐢𝐧𝐠 𝐦𝐢𝐜𝐫𝐨𝐬𝐢𝐦

When: 𝐌𝐚𝐲 𝟐𝟗𝐭𝐡 @ 𝟏𝟏 𝐚𝐦 𝐄𝐃𝐓 (Boston time)

Join us on Zoom! harvard.zoom.us/j/9762343464...
murriwurri.bsky.social
Can highly recommend! Not only is Python one of the most versatile tools in bioimage analysis, but bioimage analysis itself is also an excellent way for visual learners to learn and improve their Python skills! And it is led by fantastic people!
hms-iac.bsky.social
‼BREAKING‼
We’ve secured new funding for the Boston Bioimage Analysis Course (BoBiAC) this July at Harvard Med School! Course fees down 37%, with fee waivers for academic applicants, for an intensive hands-on intro to bioimage analysis with Python!

Apply by June 1st!
iac.hms.harvard.edu/bobiac/2025
Reposted by Maria Theiss
hms-iac.bsky.social
✨We are proudly hosting 𝐏𝐫𝐨𝐟. 𝐒𝐢𝐱𝐢𝐚𝐧 𝐘𝐨𝐮 (MIT)✨

“𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐚𝐱𝐢𝐚𝐥 𝐝𝐞𝐛𝐥𝐮𝐫𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐢𝐬𝐨𝐭𝐫𝐨𝐩𝐢𝐜 𝟑𝐃 𝐦𝐢𝐜𝐫𝐨𝐬𝐜𝐨𝐩𝐲”

𝐀𝐩𝐫𝐢𝐥 𝟐𝟒𝐭𝐡 @ 𝟏𝟏 𝐚𝐦 𝐄𝐃𝐓 (𝐁𝐨𝐬𝐭𝐨𝐧 𝐭𝐢𝐦𝐞, 𝐔𝐒𝐀)

Join us on Zoom!

harvard.zoom.us/j/9307790905...
Abstract: 
Three-dimensional subcellular imaging is often hampered by diffraction limits in thick, heterogeneous tissues and invalid assumptions about data distribution and imaging systems.

We introduce SSAI-3D, a weakly physics-informed, domain-shift-resistant framework that robustly achieves isotropic 3D imaging.

Demonstrations in various label-free samples, plus validation on publicly available 3D datasets with unknown blurring and noise, confirm its potential for more accurate subcellular analysis.
Reposted by Maria Theiss
hms-iac.bsky.social
💻 Announcing the Boston Bioimage Analysis Course — BoBiAC!
Join us this July at Harvard Medical School in Boston for a 6-day deep dive into bioimage analysis with Python, hosted by the IAC and CITE.
Apply by May 16th, 2025!