Author response for "Integration of Raman Tweezers and Machine Learning for Label-Free Single-Cell Characterization of Endometriosis Cells"

peer-review OA: closed CC0
Limited metadata. Only one source feed has indexed this record so far — no abstract, full text, or open-access copy is available through Endo Lab. The publisher's page (linked below) is the canonical location for the actual content. If you have institutional access, use "Find at my library".
View at publisher → View on OpenAlex
AI-generated summary by gemini-2.5-flash-lite, 2026-08-11

This study integrated Raman tweezers and machine learning to achieve label-free characterization of single endometriosis cells, demonstrating a novel approach for cellular analysis.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

My notes (saved in your browser only)

Condition tags

endometriosis

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

openalex
last seen: 2026-06-04T00:00:01.174412+00:00
unpaywall
last seen: 2026-08-21T06:37:11.537704+00:00
License: CC0 · commercial use OK