Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...

Figure 1. STAMP workflow and downstream analysis. Dissociated cells or nuclei are immobilized on a slide, imaged (RNA +/- protein), and exported as an analysis-ready cell × feature matrix linked to ...

What do the Tower of Babel, the biblical figure Nehemiah, algorithms and realpolitik have in common? They’re all discussed – along with integral human development, the technocratic paradigm and ...

Spread the love“`html Keras has emerged as one of the most popular deep learning libraries in recent years, notable for its simplicity and ease of use. Whether you’re a seasoned data scientist or a ...

TL;DR: PhaSR combines parameter-free Retinex normalization with geometric-semantic cross-modal attention for state-of-the-art shadow removal and ambient lighting normalization with the highest ...

Abstract: Prevention of skin cancer is essential for enhancing treatment effectiveness and patient survival rates, which remains a fast growing worldwide health issue. This work proposed, a novel ...

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...

Vibe-coding your problems away doesn't get easier than this ...

Modern fluorescence microscopy can generate images of living cells as stunning to look at as they are informative to study. For techniques like fluorescence lifetime imaging microscopy (FLIM), those ...