A dual-decoder variational autoencoder reconstructs single-cell Raman spectra from brightfield images with ~98% cosine similarity and discriminates bacterial transgenic states at 88% accuracy.
Images of single cells were collected using a 100x objective (Zeiss EC Epiplan- Neofluar, NA = 0.9) at 50% illumination intensity
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2026 1verdicts
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Pic2Spec: Generative Modeling Reconstructs Single Cell Raman Fingerprints from Brightfield Images
A dual-decoder variational autoencoder reconstructs single-cell Raman spectra from brightfield images with ~98% cosine similarity and discriminates bacterial transgenic states at 88% accuracy.