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Q-switched Mode-locking in Er-doped ZBLAN Fibre Lasers using Carbon Nanotube Saturable Absorber and GaSb-based SESAM
Mid-infrared fibre lasers are crucial for applications in spectroscopy, medical diagnostics, and environmental sensing, owing to their ability to interact with fundamental molecular vibrational bands....
PublicationsMulti-Marker Similarity enables reduced-reference and interpretable image quality assessment in optical microscopy
Optical microscopy contributes to the ever-increasing progress in biological and biomedical studies, as it allows the implementation of minimally invasive experimental pipelines to translate the data of...
PublicationsChemRxivQuest: A Curated Chemistry Question-Answer Database Extracted from ChemRxiv Preprints
The rapid expansion of chemistry literature poses significant challenges for researchers seeking to efficiently access domain-specific knowledge. To support advancements in chemistry-focused natural language...
PublicationsChunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) systems are increasingly vital for navigating the ever-expanding body of scientific literature, particularly in high-stakes domains such as chemistry. Despite the promise...
PublicationsGFSR-Net: Guided Focus via Segment-Wise Relevance Network for Interpretable Deep Learning in Medical Imaging
Deep learning has achieved remarkable success in medical image analysis, however its adoption in clinical practice is limited by a lack of interpretability. These models often make correct predictions...
PublicationsGlobal-to-local image quality assessment in optical microscopy via fast and robust deep learning predictions
Optical microscopy is one of the most widely used techniques in research studies for life sciences and biomedicine. These applications require reliable experimental pipelines to extract valuable knowledge...
PublicationsSystematic Evaluation of Preprocessing Techniques for Accurate Image Registration in Digital Pathology
Image registration refers to the process of spatially aligning two or more images by mapping them into a common coordinate system, so that corresponding anatomical or tissue structures are matched across...
PublicationsDenoising and Baseline Correction of Low-Scan FTIR Spectra: A Benchmark of Deep Learning Models Against Traditional Signal Processing
High-quality Fourier Transform Infrared (FTIR) imaging usually needs extensive signal averaging to reduce noise and drift which severely limits clinical speed. Deep learning can accelerate imaging by reconstructing...
PublicationsHigh-definition 3D suspended Archimedean spiral with broadband, spatially extended, and single-handed optical chirality enhancement in Vis-NIR range
3D plasmonic structures can provide giant optical chirality (C) in the near field, enabling strong interactions with enantiomers for chiral sensing applications. However, these structures face several...
PublicationsPhase Matched Plasmonic Transmission Lines for Cascaded Second-Harmonic Generation as a Pathway to Nonlinear Logic Circuits
In nonlinear nanophotonics, cascaded second-harmonic generation (SHG) in pure plasmonic waveguides for sequential signal transformation and complex on-chip functionality remains a long-standing challenge....
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