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S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

open access: yesAdvanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu   +6 more
wiley   +1 more source

A Quest for the Mechanism of Ultrahigh Resolution SEM Imaging

open access: yesAdvanced Science, EarlyView.
Using Monte Carlo simulations with explicit definitions of SE1 and SE2 align with a cascade secondary electron production model, this work shows that the 3D nanostructure modulated SE2 emission enhances other than to reduce topographical contrast via a “miniature Faraday cup” effect.
Hao Tian Chen   +3 more
wiley   +1 more source

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