A Practical Noise2Noise Denoising Pipeline for High-Throughput Raman Spectroscopy

In three linesNoise2Noise denoising pipeline for high-throughput Raman spectroscopy using 1D convolutional autoencoder. Trained on repeated short acquisitions (5 ms), no external reference required. Evaluated on mineral sample: RMSE, SNR, SSIM and K-means classification. Preserves chemical coherence while accelerating acquisition.

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