#ImageAnalysis

2025-06-27

Day 3 at #HIconference2025 wrapped with exciting talks on #AI for #imageanalysis, data integration & moonshot projects.

A big thank you to all speakers, chairs & participants!

See you next year!

#HelmholtzImaging #imaging #Helmholtz

Helmholtz Imaging Conference 2025Helmholtz Imaging Conference 2025Helmholtz Imaging Conference 2025Helmholtz Imaging Conference 2025
2025-05-17

Just wanted to give a shoutout to prof. Tiago Olivoto and his #R pkg 📦 (tiagoolivoto.github.io/pliman/)

Really nice for plant image analyis :)
Give it a try #ImageAnalysis #PlantScience #LeafAnalysis

2025-04-28

Image analysts: What is your go to method for batch converting image files from the proprietary format to a tiff file? If this should be done at all...

I’ve been using FIJI to open and re-save mine. Although this gives me another look at the image as a QC step, I am using Napari more and more and have found a tiff easier to load into Python.

#Microscopy #ImageAnalysis #Napari #FIJI

2025-04-21

TechCrunch: The latest viral ChatGPT trend is doing ‘reverse location search’ from photos . “This week, OpenAI released its newest AI models, o3 and o4-mini, both of which can uniquely ‘reason’ through uploaded images. … These image-analyzing capabilities, paired with the models’ ability to search the web, make for a potent location-finding tool. Users on X quickly discovered that o3, […]

https://rbfirehose.com/2025/04/21/techcrunch-the-latest-viral-chatgpt-trend-is-doing-reverse-location-search-from-photos/

2025-03-19

Hi Guys and Gals,

I really need your help with images and Mastodon.

How do I need to format my images (pref in photoshop) so that they render as 100% and NOT 1594x1594?
I'm posting some images that I want to be 1080x1080 max (for even 500x500).
#ImageAnalysis #images #renderimages #imagesrendering

Karsten Schmidttoxi@mastodon.thi.ng
2025-03-18

To avoid a massive OpenCV dependency for a current project I'm involved in, I ended up porting my own homemade, naive optical flow code from 2008 and just released it as a new package. Originally this was written for a gestural UI system for Nokia retail stores (prior to the Microsoft takeover), the package readme contains another short video showing the flow field being utilized to rotate a 3D cube:

thi.ng/pixel-flow

I've also created a small new example project for testing with either webcam or videos:

demo.thi.ng/umbrella/optical-f

#ThingUmbrella #OpticalFlow #ImageAnalysis #ComputerVision #TypeScript #JavaScript

2025-03-06

Congratulations, Fabian, for winning the 2025 @leopoldina.org Prize for Young Scientists! 🎉 Fabian's being recognized for his work on AI-driven image analysis. His best known project? nnU-Net, an open-source deep learning framework.

More 👉 bit.ly/Leopoldina-prize

Explore nnU-Net on CONNECT 👉 bit.ly/nnU-Net

#HelmholtzImaging #imaging #imageanalysis #AI
@association @DKFZ

Profile photo of Fabian Isensee
2025-02-28

📣 Listen up: you only have a few more days to apply for #EMBOSpatialOmics!

Would you like to get a comprehensive introduction to the various methods of spatial-omics and in particular those of multiplex immunofluorescence and spatial transcriptomics?

Then apply for this hands-on EMBO Practical Course by 10 March ✍️

🌍 EMBL Heidelberg
📅 15 – 20 June 2025
💻 s.embl.org/iso25-01-ma

#spatialtranscriptomics #microscopy #imageanalysis #spatialbiology #spatialomics

2025-02-18

🦋 How to use Copilot Studio to answer questions about images 🌅

🔵 Enhance Interactivity ▶︎ Leverage Copilot Studio
🔵 Easy Setup ▶︎ Activate image input through Generative AI
🔵 Responsible AI ▶︎ Prioritize content moderation and user privacy

▶︎ hubsite365.com/en-ww/citizen-d

Microsoft Copilot Studio's image analysis feature is a game-changer for AI-driven agents. From identifying products to diagnosing issues, this capability enhances user engagement and provides context-aware interactions. Embrace responsible AI practices to ensure a secure and respectful user experience. 🌟

#AIInnovation #ImageAnalysis #MicrosoftCopilot #ResponsibleAI #UserEngagement

🔍 Can Blackbird AI Compass Spot Fake Images?

Deepfakes & AI-generated photos are more convincing than ever! Blackbird AI Compass offers tools to verify images—but how reliable is it? 🤔

Find more at www.AwesomeCast.com & www.SorgatronMedia.com

#BlackbirdAI #AI #FakeImages #Deepfakes #ImageAnalysis #TechPodcast #AwesomeCast #TechNews

David Masondn_mason@mas.to
2025-02-06

I left the other place in one of the early big migrations, but I'm delighted that my employer has also followed suit:

bsky.app/profile/visiopharm.bs

If you're over there and want to see what the company is doing in the #DigitalPathology #DeepLearning #ImageAnalysis space, check it out ... or say hello and ask me :)

2025-02-04

@glyg awesome! Tagging this with #fedijobs #getfedihired #ImageAnalysis for better reach

2025-01-31

New deep-learning cell detection pipeline for light-sheet mouse brain image stacks, with an interesting cell-coordinate clustering statistics approach:

A deep learning pipeline for three-dimensional brain-wide mapping of local neuronal ensembles in teravoxel light-sheet microscopy
Attarpour et al., Nature Methods 2025
doi.org/10.1038/s41592-024-025

Code: github.com/AICONSlab/MIRACL

Documentation: miracl.readthedocs.io/

#lightsheet #microscopy #ImageAnalysis #neuroscience

Fig. 1 a–c, Intact whole brains immunolabeled, cleared and imaged with LSFM were used as input to the ACE pipeline. a, Whole-brain LSFM data are passed to ACE’s segmentation module, consisting of ViT- and CNN-based DL models, to generate binary segmentation maps in addition to a voxel-wise uncertainty map for estimation of model confidence. b, The autofluorescence channel of data is passed to the registration module, consisting of MIRACL registration algorithms, to register to a template brain such as the Allen Mouse Brain Reference Atlas (ARA). High-resolution segmentation maps are then voxelized using a convolution filter and warped to the ARA (10 µm) using deformations obtained from registration. c, Voxelized and warped segmentation maps are passed to ACE’s statistics module. Group-wise heatmaps of neuronal density are obtained by subtracting the average of warped and voxelized segmentation maps in each group to identify neural activity hotspots. To identify significant localized group-wise differences in neuronal activity in an atlas-agnostic manner, a cluster-wise, threshold-free cluster enhancement permutation analysis (using group-wise ANOVA) is conducted. The resulting P value map represents clusters showing significant differences between groups. Correspondingly, ACE outputs a table summarizing these clusters, including their volumes and the portion of each brain region included in each cluster.
2025-01-22

University of Maryland: An Unlikely Tool to Predict Household Energy Costs on Large Scale. “Using Google Street View images and an artificial intelligence system, a research team including a University of Maryland public health scholar were able to predict household energy costs for a broad swath of Chicago’s population. The method can be used nationwide to assess the use of passive design […]

https://rbfirehose.com/2025/01/22/university-of-maryland-an-unlikely-tool-to-predict-household-energy-costs-on-large-scale/

2025-01-16

🎉 Thrilled to announce that #MetricsReloaded is among the most cited papers of 2024 in Nature Methods, ranking 3rd among its peers!

This innovative framework, based on the “problem fingerprint,” helps researchers choose the right metrics and fosters a deeper understanding of validation methodologies

🔗 Dive into the details: bit.ly/3CckBNK

#AI #imaging #imageanalysis #validation @DKFZ

Image: Envato Elements

Confetti on green background
2024-12-28

DIPlib 3.5.2 released!

We've added the graph-cut algorithm, and finally have documentation in Python.

crisluengo.net/archives/1147/

#ImageAnalysis #imageprocessing #foss #OpenSource #cpp #Python #matlab

2024-12-24

I wrote a post using #PDL for extraction of line features from images using a Hough transform. Hopefully, it shows PDL's capability for working with ndarrays (even though this is just 2D in both the image and parameter space).

pdl.perl.org/advent/blog/2024/

#perl #ImageAnalysis #computervision

2024-12-12

Baylor College of Medicine: New open-source platform supports large imaging data analysis. “A new open-source image analysis platform, developed by researchers at Baylor College of Medicine, Texas A&M University and the University of Houston, will now provide researchers with a powerful tool to analyze these large datasets in a computational resource efficient way, while including evaluation […]

https://rbfirehose.com/2024/12/12/baylor-college-of-medicine-new-open-source-platform-supports-large-imaging-data-analysis/

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