Alexander Krull
@alex-krull.bsky.social
100 followers 110 following 13 posts
Assistant Professor at Uni Birmingham. Working on Image processing, denoising, generative image models and other interesting things.
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alex-krull.bsky.social
Thank you @afoix.bsky.social , thank you @virginieuhlmann.bsky.social! I am very happy and proud I was part of this one!
afoix.bsky.social
Happy to share that ShapeEmbed has been accepted at @neuripsconf.bsky.social 🎉 SE is self-supervised framework to encode 2D contours from microscopy & natural images into a latent representation invariant to translation, scaling, rotation, reflection & point indexing
📄 arxiv.org/pdf/2507.01009 (1/N)
alex-krull.bsky.social
Cheers, for sharing, @paveltomancak.bsky.social! What a brilliant example for rotation-invariance or the lack of it.
Will go into the lecture.
Reposted by Alexander Krull
helmholtzimaging.bsky.social
Sept 18: Learn how to remove noise from imaging data with supervised, self-supervised & generative AI. With @alex-krull.bsky.social (University Birmingham).

Register for the series 👉 bit.ly/6-image-proc...

@helmholtz.de
#imaging #ImageDenoising #AI
Reposted by Alexander Krull
ericbrachmann.bsky.social
Looking forward to my talk at heidelberg.ai. I will touch on topics like #MapFreeReloc and #ACEZero, i.e. how to derive scene representations from very few (one!) or very many images.
cartlueth.bsky.social
We’re thrilled to welcome Eric Brachmann (@ericbrachmann.bsky.social‬), Senior Staff Scientist at Niantic Spatial, Inc. and a leading expert in visual relocalisation & pose estimation, to our heidelberg.ai / NCT Data Science Seminar on July 16th at 4 PM.

👇Details Below 1/3
alex-krull.bsky.social
Please meet Dr. @stonks1.bsky.social!
Couldn’t be more proud!
Reposted by Alexander Krull
florianjug.bsky.social
Submit your method to our denoising challenge!!! 👍
Reposted by Alexander Krull
maweigert.bsky.social
Do you like developing new AI vision methods for microscopy image analysis? You love theory & implementation? 1 week left to apply for a fully funded PhD position in our lab in Dresden 🇩🇪! Topics: object detection/tracking, multimodal models & more. DM/email for details! #PhD #AcademicJobs #GPUsgoBrr
Vacancy ID 12244
www.verw.tu-dresden.de
alex-krull.bsky.social
Rock on, Pavel! 👍👍👍
paveltomancak.bsky.social
Unlocking a cycling achievement. Koenigstuhl was like another planet for me when I was doing my PhD @embl.org. My car (old communist Škoda 105L) had trouble getting there. By bike - unthinkable. 25 years later, I did it with a bio-bike! Via #EMBL from Rohrbach. Next challenge: #Steigerweg 🤠💪🚴‍♀️
Reposted by Alexander Krull
ai4life.bsky.social
The 2nd AI4Life Challenge is live!
Calling the AI & bioimaging community to tackle a key microscopy challenge: removing noise while preserving detail.

📦 Paired noisy/clean datasets
📈 Ground-truth evaluation
🧠 DL focus

Build, test, compete 👉 ai4life.eurobioimaging.eu/challenge-2/
Reposted by Alexander Krull
florianjug.bsky.social
Join the challenge, get the data, contribute your solution!!! 🎉
ai4life.bsky.social
The 2nd AI4Life Challenge is live!
Calling the AI & bioimaging community to tackle a key microscopy challenge: removing noise while preserving detail.

📦 Paired noisy/clean datasets
📈 Ground-truth evaluation
🧠 DL focus

Build, test, compete 👉 ai4life.eurobioimaging.eu/challenge-2/
alex-krull.bsky.social
The submission for 2025's BioImage Computing @iccv.bsky.social is now open. If things go like the last years, I am looking forward to all you brilliant submissions.
www.bioimagecomputing.com
BioImage Computing
a truly interdisciplinary workshop
www.bioimagecomputing.com
Reposted by Alexander Krull
cppape.bsky.social
After a long journey, Segment Anything for Microscopy is now published in Nature Methods! We significantly improve SAM for interactive and automatic segmentation in light and electron microscopy and build a user-friendly tool.
www.nature.com/articles/s41...
Improvements in LM (top) and EM (bottom) of our micro-sam model (finetuned) compared to the default SAM model.
Reposted by Alexander Krull
docmilanfar.bsky.social
Tweedie's formula is super important in diffusion models & is also one of the cornerstones of empirical Bayes methods.

Given how easy it is to derive, it's surprising how recently it was discovered ('50s). It was published a while later when Tweedie wrote Stein about it

1/n
Reposted by Alexander Krull
kommunikationsliebe.org
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Our experienced team specializes in discreetly acquiring and transporting your car to […]
Original post on social.tchncs.de
social.tchncs.de
alex-krull.bsky.social
Wow! Congrats!
cppape.bsky.social
Segment Anything for Microscopy made the cover! Check out the amazing artwork by Sebastian:
haarensv.bsky.social
A small but special moment: My illustration is on the cover of the March issue of Nature Methods!

A huge hug to @anwaiarchit.bsky.social and @cppape.bsky.social — it was a pleasure to work alongside you on this!

www.nature.com/nmeth/volume...
alex-krull.bsky.social
@docmilanfar.bsky.social , love this. Max likelihood points to x. This refers to the fact that the noisy data x is actually the max likelihood est. of u?
Reposted by Alexander Krull
docmilanfar.bsky.social
Have you said thank you once to Tweedie?
Reposted by Alexander Krull
florianjug.bsky.social
🚨 Fantastic opportunity to conduct a PhD in Europe! European funding and fantastic international community! 👩‍🎓
alexbnmrh.bsky.social
14 PhD Positions in the Cilia-AI Consortium!

Cilia-AI is a European training rogramme for deconvolution of multi-scale cilia function in health and disease by integrating machine learning-AI approaches.

www.cilia-ai.eu
Cilia-AI
www.cilia-ai.eu
Reposted by Alexander Krull
tlmcambridge.bsky.social
🚨Next week, Wed 05/03 | 16:00 UK - Online Seminar🚨

"Turning morphology into numbers across microscopy scales and modalities" by Dr Virginie Uhlmann.

To attend online please register to our 📧 for the zoom link: lists.cam.ac.uk/sympa/subscr...
Poster for Theory of Living Matter seminar series talk 05 March 2025 at 16:00 UK time. Speaker is Virginie Uhlmann from BioVisionCenter, University of Zurich and EMBL-EBI. The talk is entitled "Turning morphology into numbers across microscopy scales and modalities", with the following abstract: Microscopy image data constitute the primary source of observational data on living systems across scales, and recent advances in microscopy technologies now enable the multi-modal observation of identical biological specimen. A key question emerges from this abundance of image data: how can we consistently quantify what we see? This endeavour is particularly complex for morphology, which involves intricate combinations of visual features that appear fundamentally different across various imaging modalities. Motivated by this challenge, my research group has been focusing on abstracting the problem of image-based morphology quantification from specific imaging modalities. In this seminar, I will present how we are building bits by bits the computational tools needed to extract modality-agnostic shape descriptors from microscopy images, how we use them to investigate fundamental biological questions, and what are the promising directions we are pursuing towards establishing a general framework to quantify biological morphology across imaging modalities.
Reposted by Alexander Krull
uni-goettingen.de
Automatische Zellanalyse mit #KI: Forschende trainierten eine bestehende, KI-basierte Software neu. Das Modell „Segment Anything for Microscopy“ kann Bilder von Geweben, Zellen und anderen Strukturen genau segmentieren: s.gwdg.de/HqkMz2; s.gwdg.de/iTejKW

Forschungsteam mit bsky.app/profile/cppa...
Pflanzenzellen, die mit einem Fluoreszenzmikroskop aufgenommen und mit dem Modell automatisch segmentiert wurden. Die zugrunde liegenden Daten sind dreidimensional und das Bild zeigt eine Darstellung der segmentierten Zellen, die jeweils durch eine andere Farbe repräsentiert werden.

Foto: Nature Methods: 10.1038/s41592-024-02580-4 Segmentierung von Zellen in der Lichtmikroskopie mit μSAM. Das Bild zeigt, wie Zellen in der Phasenkontrastmikroskopie mit μSAM segmentiert werden können. Grüne Punkte und Kästchen zeigen die Benutzereingabe und farbige Masken die entsprechende Vorhersage des Modells.

Foto: Erstellt von Anwai Archit mit dem μSAM-Tool, verfügbar in Nature Methods: 10.1038/s41592-024-02580-4
Reposted by Alexander Krull
florianjug.bsky.social
Amaaazing bunch of students, TAs, and faculty come together for this! Thank you all for joining us here this week! #EMBLDeepLearning

Anna @ilastik-team.bsky.social Kreshuk, @maweigert.bsky.social, @cppape.bsky.social, @alex-krull.bsky.social, @janfunkey.bsky.social, and many more… ❤️
Reposted by Alexander Krull
florianjug.bsky.social
‼️🔬 We start!!! 🎉🤖
Super exciting!!! After years of teaching courses for #DeepLearning for Microscopy and Life Science application, we start today our first “advanced course” @embl.org!
#EMBLDeepLearning