Muhammad Osama

Deep Learning and OCT: Advancing Colorectal Cancer Detection

In a recent article, researchers explored the integration of endoscopic optical coherence tomography (OCT) with deep learning for real-time assessment of colorectal polyps during colonoscopy. The study demonstrated its potential to enhance diagnostic accuracy and improve clinical decision-making in colorectal cancer prevention.

Advancement in Electron Alignment and Ionization with XFEL Pulses

In a recent article, researchers analyzed electron-cloud alignment in atomic argon induced by intense XFEL pulses. The study sheds light on multiphoton ionization dynamics and its implications for ultrafast spectroscopy and atomic physics.

Using FT-NIR and Machine Learning for Identifying Authenticate Kimchi

In a recent article, researchers detail how FT-NIR spectroscopy and machine learning can accurately identify the geographical origin of kimchi, supporting food authentication and consumer protection.

Improving Catalyst Efficiency in Hydrogen Fuel Cells with X-ray Absorption Spectroscopy

In a recent article, researchers used operando X-ray absorption spectroscopy to examine how ionomer interactions with catalysts impact hydrogen fuel cell efficiency, identifying strategies to enhance catalyst performance and reduce reliance on platinum.

Advancing Precision Medicine with SRCPT: Tracking Drug Metabolism in Real-Time

In a recent article, researchers introduced a novel photoacoustic imaging technique, SRCPT, enabling precise tracking of drug clearance in key metabolic organs. This method advances non-invasive imaging for studying pharmacokinetics and supports applications in precision medicine.

Tunable VO2-Based Metamaterials for Advanced Infrared Applications

In a recent article, researchers demonstrated how vanadium dioxide (VO2)-based hybrid metamaterials can dynamically tune mid-infrared properties, paving the way for advanced applications in thermal management, optical switching, and smart materials.

High-Resolution Integrated Photonic Spectrometer for Versatile Spectral Analysis

Advancing Infrared Imaging: High-Efficiency Nonlinear Metasurfaces

In a recent article, researchers present a framework that uses nonlinear metasurfaces with guided-mode resonance to improve infrared imaging and spectroscopy, achieving broadband imaging through efficient four-wave mixing.

Ultrasonic Imaging with Micro-Metalenses for Advanced Material Diagnostics

In an article published in Scientific Reports, researchers from the USA and India explore advancements in ultrasonic imaging using micro-fabricated metalenses to achieve micron-scale resolution for non-destructive testing and material diagnostics.

Automated Algorithm for Cone Density Assessment in Retinal Imaging

In a recent study published in Scientific Reports, researchers developed an automated algorithm for assessing cone density in retinal imaging, significantly enhancing the accuracy and efficiency of diagnostics. They also created an open-access database of normative images to improve understanding of retinal health.