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Cited by 628

The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.

Autofluorescence spectroscopy and imaging: a tool for biomedical research and diagnosis

Open access
Croce, A.C., Bottiroli, G.·2014·European Journal of Histochemistry

Abstract

Native fluorescence, or autofluorescence (AF), consists in the emission of light in the UV-visible, near-IR spectral range when biological substrates are excited with light at suitable wavelength. This is a well-known phenomenon, and the strict relationship of many endogenous fluorophores with morphofunctional properties of the living systems, influencing their AF emission features, offers an extremely powerful resource for directly monitoring the biological substrate condition. Starting from the last century, the technological progresses in microscopy and spectrofluorometry were convoying attention of the scientific community to this phenomenon. In the future, the interest in the autofluorescence will certainly continue. Current instrumentation and analytical procedures will likely be overcome by the unceasing progress in new devices for AF detection and data interpretation, while a progress is expected in the search and characterization of endogenous fluorophores and their roles as intrinsic biomarkers.

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Metadata

Authors
Croce, A. C., & Bottiroli, G.
Venue
European Journal of Histochemistry
Published
2014-12-12
Volume
58
Issue
4
Pages
2461-2461
ISSN
  • 1121-760X (ISSN-L)
  • 2038-8306
OpenAlex
W2058187222
Cited by
628
References
126
FWCI
13.95
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Autofluorescence spectroscopy and imaging: a tool for biomedical research and diagnosis. https://app.cochat.ai/papers/10.4081/ejh.2014.2461
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Croce, A. C., & Bottiroli, G. (2014). Autofluorescence spectroscopy and imaging: a tool for biomedical research and diagnosis. European Journal of Histochemistry. https://doi.org/10.4081/ejh.2014.2461

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.