Fast compressive Raman bio-imaging via matrix completion
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Other documents of the author: Soldevila, Fernando; Dong, Jonathan; Tajahuerce, Enrique; Gigan, Sylvain; Barbosa de Aguiar, Hilton
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comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/43643
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Title
Fast compressive Raman bio-imaging via matrix completionAuthor (s)
Date
2019Publisher
Optical Society of AmericaISSN
2334-2536Bibliographic citation
SOLDEVILA, Fernando, et al. Fast compressive Raman bio-imaging via matrix completion. Optica, 2019, vol. 6, no 3, p. 341-346.Type
info:eu-repo/semantics/articlePublisher version
https://www.osapublishing.org/optica/abstract.cfm?uri=optica-6-3-341&origin=searchVersion
info:eu-repo/semantics/submittedVersionAbstract
Raman microscopy is a powerful method combining non-invasiveness with no special sample preparation. Because of
this remarkable simplicity, it has been widely exploited in many fields, ranging from life and materials ... [+]
Raman microscopy is a powerful method combining non-invasiveness with no special sample preparation. Because of
this remarkable simplicity, it has been widely exploited in many fields, ranging from life and materials sciences to
engineering. Notoriously, due to the required imaging speeds for bio-imaging, it has remained a challenge how to use
this technique for dynamic and large-scale imaging. Recently, a supervised compressive Raman framework has been
put forward, allowing for fast imaging, therefore alleviating the issue of speed. Yet, due to the need for strong a priori
information of the species forming the hyperspectrum, it has remained elusive how to apply this supervised method
for microspectroscopy of (dynamic) biological tissues. Combining an original spectral under-sampling measurement
technique with a matrix completion framework for reconstruction, we demonstrate fast and inexpensive label-free
molecular imaging of biological specimens (brain tissues and single cells). Using the matrix completion outcome with
the supervised method allows for large compressions (64 × ) and bio-imaging speeds surpassing current technology in
spontaneous Raman microspectroscopy. Therefore, our results open interesting perspectives for clinical and cell
biology applications using the much faster compressive Raman framework. [-]
Is part of
Optica, 2019, vol. 6, no 3.Investigation project
ANR-10-IDEX-0001-02 PSL* ; ANR-10-LABX-0010 ; 724473 ; PREDOC/2013/32 ; PROMETEO/2016/079 ; FIS2016-75618-RRights
2334-2536/19/030341-06 Journal © 2019 Optical Society of America
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