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The winner of Nikon's Small World in Motion video contest used diffractive super-resolution microscopy to capture cilia movement for disease research, demonstrating the importance of observing cellular motion.
Loci is a free, open-source desktop workspace for scientific image analysis, enabling labs to view, annotate, and analyze microscopy and 3D data without cloud accounts or subscriptions.
QCell is a query-based model that improves instance segmentation of overlapping cells in microscopy through latent-space recombination and contrastive query alignment, achieving state-of-the-art results on benchmarks.
A technique is shared for using the Segment Anything Model (SAM) to segment images without prompting by exploiting similarities in microscopy images, enabling zero-shot mask propagation similar to video.
This paper presents a benchmark and trace-logging framework for evaluating LLM-based agents that control microscopes, comparing 105 agent configurations and finding that benchmarks support qualification but do not reliably predict performance on unseen tasks.
This article details the use of a compact MEMS-based atomic force microscope to image nanoscale features, including bacteria and silver nanoprisms, with a stroboscopic high-speed video system capturing the 9 kHz tapping motion. It covers sample preparation and immobilization techniques for bacteria.
This paper presents 3D masked autoencoders for volumetric microscopy data, demonstrating that 3D modeling outperforms 2D max-projection and slice-based variants on downstream single-cell tasks, with cross-modal alignment to a protein language model further improving performance.
OpenAI Microscope is an open-source tool that systematically visualizes every neuron in commonly studied vision models with fast feedback loops and linkable neurons to support interpretability research. The platform reduces visualization time from minutes to seconds and aims to make neural network analysis more accessible to the research community.