Mara Lampert

Communicative mind between biology and computer science. / uni leipzig
CMS master student tu dresden #bioimageanalysis

[Mara Lampert @maralampert]

If you want to find out more about Bio-image Analysis in @napari_imaging, you can check out my blog series on @focalplane_jcs containing how-to guides for common methods and challenges (e.g. citation). 🔬🚀https://t.co/zTfGRH9QAt

Happy reading and coding! 😇

[Robert Haase @haesleinhuepf]

@seledevedec @NEUBIAS_ I recommend this @focalplane_jcs blog post about 3D annotations with @napari_imaging written by @maralampert. It comes with video tutorials and detailed explanations 🔬🖥️✍️🤩
https://t.co/hfsmRgDLmO

[ScaDS.AI Dresden/Leipzig @Sca_DS]

Lea Kabjesz, Lea Gihlein, @maralampert, and Luisa Götze led a workshop at the @Sca_DS General Assembly. Titled “Coding Effectively with AI: Getting Started with Cursor and Copilot”, the slides are free and suitable for beginners.

👉 https://t.co/UmC8RRSIqf

#PromptLikeAPro

[FocalPlane @focalplane_jcs]

Ensuring reproducibility in GUI-based bio-image analysis tools can be tricky. In her blogpost, @maralampert highlights features in Napari, Fiji, QuPath, Galaxy, CellProfiler and JIPipe that support workflow saving and sharing.

https://t.co/0iamMyasPx

[J Cell Science @J_Cell_Sci]

In their Perspective article, @VirginieUhlmann, Matthew Hartley, @notjustmoore, Erin Weisbart and @AssafZaritsky tell us how we can make the most out bioimage data through interdisciplinary interactions.
https://t.co/RqzRlvZn6z
#JCSImagingSI

[ScaDS.AI Dresden/Leipzig @Sca_DS]

📅 REMINDER: Make sure to attend the inaugural lecture "From Pixels to Patterns: Machine Learning for Bioimage Analysis" of Prof. Martin Weigert at TU Dresden. It will be well worth it!

▶️ Tuesday, 26.11.2024, 4:40 p.m.
▶️ APB-E023, Nöthnitzer Str. 46, 01187 #Dresden

[Student Network for Open Science @studentNOS]

Du interessierst dich für die #Methoden der Human- und Lebenswissenschaften? Du möchtest nicht nur theoretisch darüber lernen, sondern praktisch anpacken, um in den Kern der #wissenschaftlichenMethode einzutauchen?

Anmeldung: https://t.co/zzhu0qBC2g. ✒️

[Brian Northan @truenorth_ia]

A little bit into the python API weeds but here is a 2 part video on how to deal with a tough multiscale segmentation problem with Cellpose: part 1 https://t.co/3HeQijfxqX and part 2 https://t.co/GCSBAPmTl2

[Jakob Nikolas Kather @jnkath]

Happy to share a new review article led by Laura @zigutyte from @Katherlab. We surveyed all contributions at Europe’s largest conference on hepatology, @EASLnews 2024. The liver research field is already integrating AI techniques for diagnostics, evaluating treatment effectiveness, assessing risks, and more. https://t.co/zd0lqTB6BT

[German BioImaging @GerBI_GMB]

📢The #YMIA present: Streamlining 3D image analysis with #OMERO by @tom_bssnnt. Tomorrow, November 13th! Efficient data management meets powerful #ImageAnalysis for seamless research. 💻🚀
Register here: https://t.co/FojUd1vBxq

[ScaDS.AI Dresden/Leipzig @Sca_DS]

Our Training Coordinator @haesleinhuepf attended the workshop of the Global BioImage Analysis Society @GloBIAS_ last week and spoke about "Training Computational Skills in the Age of AI" and "Developing a Training Strategy".

👉https://t.co/gyeA0vIZrv
👉https://t.co/hLxTQqE6Rg

[Student Network for Open Science @studentNOS]

Liebe Wissenschaftsbegeisterte,
kommt zum Semester #KickOffMeeting des #StudentNetworkforOpenScience am 27. Oktober oder am 03. November 2024 um 16:00 Uhr online auf MS Teams und werdet dieses Semester aktiv! 💡

📍 Link: https://t.co/4RwNre8sGj

[Gabriel @gabelbling]

Amazing graphical representation of a neural net, never seen anything like it.

[Anaïs Bailles @AnaisBailles]

Very happy to share the first article from my postdoc work in the Tomancak lab! https://t.co/0gmwblw1Wb. We studied the self-organization of actin in aggregates made from Hydra cells. Thread below (1/9)

[Beth Cimini Lab 🔬💻 📊 @CiminiLab]

New from me and a huge cast of amazing bioimage analysts in @J_Cell_Sci - - "The crucial role of bioimage analysts in scientific research and publication" https://t.co/wFrTQ1fPOH . Hop into 🧵to learn more! (1/x)

[Robert Haase @haesleinhuepf]

I just updated the #gitbob #preprint: It now comes with a graphical abstract outlining how multiple humans can interact with multiple LLMs in a persistent discussion thread about #DataAnalysis tasks. 😎https://t.co/r8BJjBcKF2

[Pavel Tomancak @PavelTomancak]

Gene expression patterns in a drain fly embryo | 2024 Photomicrography Competition | Nikon’s Small World:

@bruvellu did it again! @mpicbg @NikonSmallWorld #LoPaTs

https://t.co/wYb7acSPVe

[ScaDS.AI Dresden/Leipzig @Sca_DS]

🌟@Sca_DS is currently part of the #MakerDaysforKids in Leipzig and in charge of an AI workshop where kids learn how to generate images, music and texts using #AI.
One Highlight is a #SmartMirror: Interact with your reflection & discuss AI's impact on self-image & society.
#STEM

[Mara Lampert @maralampert]

@haesleinhuepf @nfdi4bioimage @Sca_DS Happy to be on board ⛵️🤩

[Robert Haase @haesleinhuepf]

Let me introduce you to the amazing @nfdi4bioimage crew @Sca_DS.AI taking care of #BioImageAnalysis, #ResearchDataManagement and #ArtificialIntelligence Training
🔬💻👨‍🏫🚀
#NewGroupPicture

[Robert Haase @haesleinhuepf]

🚨 #preprint alert 🚨
"Towards Transparency and Knowledge Exchange in AI-assisted Data Analysis Code Generation": Using direct LLM-integration in discussions about Github issues and pull-requests, a.k.a. #gitbob.

Let me guide you through it in a short 🧵
https://t.co/kheMo46Ey0

[Robert Haase @haesleinhuepf]

#gitbob 0.3.1 is out and as an experiment, I'm opening it for #BioImageAnalysis support requests to the public. 🫵 Let's guide the #AIassistant together to analyse your image. 😃 https://t.co/oBCOYPJQJz
How it works 🧵: 1. Upload an image and ask an initial question: