Back to search

Article

Label-Free Live Cell Type Prediction by Integrating Raman Spectroscopy and Machine Learning

2026-06-18

Abstract excerpt

Coherent Raman spectroscopy enables label-free biochemical fingerprinting of live cells with subcellular resolution. We previously developed a machine learning framework capable of classifying glioma FFPE tissues using Raman spectral signatures. To accelerate live cell acquisition, we previously developed RADAR (Raman Spectral Analysis Using Deep Learning for Artifact Removal), a method that increases imaging spee...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
2d86ff03-40bd-5819-ad2b-bde20e8310b3
DOI
10.64898/2026.06.16.732770
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Label-Free Live Cell Type Prediction by Integrating Raman Spectroscopy and Machine LearningDOI 10.64898/2026.06.16.732770
Select a neighboring publication to make it the new centre.