Track an object across any video and create fun effects interactively, with as little as a single click on one frame.

動画の背景を無料で削除し、ワンクリックで好きな色や透明な背景に置き換えられます。

AITracer, il plugin per QGIS 4 sviluppato dal LAD che usa SAM2 per digitalizzare feature da layer raster con un clic, è ora una versione stabile, nel repository ufficiale dei plugin di QGIS e collauda...

We evaluated 11 segmentation methods (Watershed, BIDCell, Cellpose, SCS, SAM, SAM2, mSAM, Baysor, CelloType, Swin-s and Mask R-CNN) across 15 spatial transcriptomics datasets generated using 5 different technologies: Stereo-seq, Xenium, CosMx, STARmap PLUS and MERFISH (Fig. 1a, Supplementary Table 1 and Methods). The datasets span two species (mouse and human), 12 tissue types (brain, breast, embryo, lung, pancreas, skin, colon, stomach, ovarian, kidney, prostate and utero) and a wide range of cell counts, from around 700 cells in an ovarian cancer dataset to large cohorts of more than 800,000 cells in a prostate cancer dataset. We selected this diversity to reflect the breadth of contemporary spatial transcriptomics applications and to challenge segmentation robustness under heterogeneous biological and technical conditions (Supplementary Fig. 1a,b). We also performed cross-technology benchmarking (Fig. 1b) to account for discrepancies between platforms. This design separated algorithm-specific effects from platform-dependent biases. We conducted all the analysis using a unified benchmarking pipeline (Fig. 1c) that applies standardized quality control (QC), patch-based processing and consistent preprocessing across methods to ensure fair and reproducible comparisons. During preprocessing, we established data subsetting criteria for each dataset and method based on technical limitations (Methods). For methods that explicitly integrate transcriptomic information into their...

SAM2 multiple object tracking; blending and more color spinner; RFID localization; autoexposure; Oana Olteanu's piece

September is Sepsis Awareness Month. Dialysis patients are particularly at risk for this serious bloodstream infection. Learn more about sepsis and how to prevent it at https://lnkd.in/ewgp43Ui. #SAM2...

Glycerine Editor now integrates AI-assisted image analysis to augment scholarly and curatorialn annotation practice. We have implemented automated region outlining using ONNX SAM2 runningon WebGPU, with assisted additive and subtractive refinement. Magnetic cursor tools assist in fine outlining of complex shapes. These outputs enter the standard workflow as draft annotation layers, subject to expert review, correction, and enrichment. The result is a radical reduction in manual effort at scale without compromising interpretive control, metadata integrity, or alignment with institutional standards and IIIF-based publication. Glycerine Workbench has been updated. If you have not already, please register and try it out. Register for Free