Explore Advanced AI Tools for Large-Scale Microscopy!
Deep Block
Train your ML models for high resolution imagery analysis, no coding required.
Introducing Deep Block, the best AI software designed to revolutionize Material Science and Healthcare. Effortlessly analyze your LARGE area micrograph and dramatically reduce your work hours with unparalleled efficiency.
Deepblock.net, a no-code AI model development platform, is offering a free COCO JSON annotation tool. Unlike traditional tools, this product supports large-scale images, making it ideal for high-resolution microscopy and research applications. For instance, consider an image captured using slide scanner—a single blood smear slide can be as large as 16GB. Rendering such massive images and annotating them with a free online annotation tool has been impossible—until Deep Block made it possible.?
Explore MLCC failure modes, reliability, and degradation models to enhance manufacturing excellence and improve electronic device performance.
If a blood smear slide shows a high number of smudge cells, it can be a valuable indicator for diagnosing CLL (Chronic Lymphocytic Leukemia). While the presence of smudge cells is not an absolute diagnostic criterion for CLL, a blood smear test is a very affordable, simple, and cost-effective diagnostic tool. In this article, we will explore smudge cells, the reasons they form, and their connection to CLL.
Computational geometry is a branch of computer science that has been extensively studied in areas like graphics and GIS. Today, we will explore polygon shape analysis algorithms and 2D computational geometry, which can also be effectively utilized in the fields of natural sciences and remote sensing.
Discover how the Ni electrode ligament structures within MLCC electrodes significantly impact performance and reliability in electronics manufacturing.