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CCB79 is a primate-specific cilium initiation factor essential to maintain neural progenitor diversity in developing brain tissue

Identifying the genes that regulate the accurate spatiotemporal diversity of neural progenitor cells (NPCs) helps to understand the mechanisms of human neocortex expansion. In primate brains, an additional...

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NanTex enables computational multiplexing and phenotyping of organelles across super-resolution modalities

Super-resolution microscopy (SRM) enables nanoscale visualization of cellular organelles but remains constrained by spectral overlap, labeling requirements, and temporal offsets in multicolor imaging....

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Chromatix: a differentiable, GPU-accelerated wave-optics library

Modern microscopy methods incorporate computational modeling of optical systems as an integral part of the imaging process, either to solve inverse problems or enable optimization of the optical system...

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Absolute Membrane Potential Recording with ASAP-Type Genetically Encoded Voltage Indicators Using Fluorescence Lifetime Imaging

The electrical membrane voltage (Vm) characterizes the functional state of biological cells, thus requiring precise, non-invasive Vm-sensing techniques. While voltage-dependent fluorescence intensity...

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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....

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Multi-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...

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ChemRxivQuest: 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...

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Chunk 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...

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GFSR-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...

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Global-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...

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