scholarly journals Label‐free spectroscopic tissue characterization using fluorescence excitation‐scanning spectral imaging

2019 ◽  
Vol 13 (2) ◽  
Author(s):  
Peter F. Favreau ◽  
Joshua A. Deal ◽  
Bradley Harris ◽  
David S. Weber ◽  
Thomas C. Rich ◽  
...  
Keyword(s):  
Tissue Characterization ◽  
Spectral Imaging ◽  
Label Free ◽  
Fluorescence Excitation

scholarly journals Front Cover: Label‐free spectroscopic tissue characterization using fluorescence excitation‐scanning spectral imaging (J. Biophotonics 2/2020)

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Peter F. Favreau ◽  
Joshua A. Deal ◽  
Bradley Harris ◽  
David S. Weber ◽  
Thomas C. Rich ◽  
...  
Keyword(s):  
Tissue Characterization ◽  
Spectral Imaging ◽  
Label Free ◽  
Fluorescence Excitation ◽  
Front Cover

Non-invasive skin tissue characterization using non-linear spectral imaging microscopy

2008 ◽  
pp. 213-214
Author(s):  
J. A. Palero ◽  
H. S. de Bruijn ◽  
A. van der Ploeg van den Heuvel ◽  
H. J. C. M Sterenborg ◽  
H. C. Gerritsen
Keyword(s):  
Tissue Characterization ◽  
Spectral Imaging ◽  
Skin Tissue ◽  
Non Invasive ◽  
Non Linear

Development of a multispectral microscopy platform using laser diode illumination for effective and automatic label-free Plasmodium falciparum detection

2020 ◽  
Author(s):  
Yao Alvarez Kossonou ◽  
Jérémie Zoueu
Keyword(s):  
Light Emitting Diode ◽  
Malaria Diagnosis ◽  
Cell Detection ◽  
Light Sources ◽  
Label Free ◽  
Fluorescence Excitation ◽  
Light Emitting ◽  
Spectral Bands ◽  
Illumination System ◽  
Set Up

In this paper, we present the progress made in developing multimodal and multispectral light microscopy for label-free malaria diagnosis. Our previously developed light emitting diode (LED) illumination system was replaced by laser diodes as light sources in order to narrow the spectral bands and improve the effectiveness of the contrast function for infected blood cell detection. The acquisition system is now equipped with an algorithm for automatic field scanning and best in-focus determination. We demonstrate the potential of this platform to provide multiple investigation modalities like transmission, reflection, scattering, fluorescence, excitation, emission and polarisation. The application of this platform on malaria-infected samples has shown the effectiveness of such a system in label-free and all-optical malaria detection by allowing the possibility of using a different type of imaging set-up for the samples analysed. Also, fewer illumination sources are used to characterise malaria-infected red blood cells compared to our previous works on malaria detection using LEDs illumination sources.

Short-Wave Infrared Meso-Patterned Imaging for Quantitative and Label-Free Tissue Characterization

2021 ◽  
Author(s):  
Yanyu Zhao ◽  
Anahita Pilvar ◽  
Mark C. Pierce ◽  
Darren M. Roblyer
Keyword(s):  
Tissue Characterization ◽  
Short Wave ◽  
Label Free ◽  
Short Wave Infrared

Virtual staining of colon cancer tissue by label-free Raman micro-spectroscopy

The Analyst ◽  
2017 ◽  
Vol 142 (8) ◽  
pp. 1207-1215 ◽  
Author(s):  
D. Petersen ◽  
L. Mavarani ◽  
D. Niedieker ◽  
E. Freier ◽  
A. Tannapfel ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Spectral Imaging ◽  
Cancer Tissue ◽  
Label Free ◽  
Colon Cancer Tissue ◽  
Free Classification ◽  
Raman Spectral

The great capability of virtual staining for label-free classification of colon cancer tissue has been demonstrated via Raman spectral imaging.

scholarly journals Monitoring the Metabolic State of Fungal Hyphae and the Presence of Melanin by Nonlinear Spectral Imaging

2013 ◽  
Vol 79 (20) ◽  
pp. 6345-6350 ◽  
Author(s):  
Helene Knaus ◽  
Gerhard A. Blab ◽  
Alexandra V. Agronskaia ◽  
Dave J. van den Heuvel ◽  
Hans C. Gerritsen ◽  
...  
Keyword(s):  
Early Stage ◽  
Fluorescence Emission ◽  
Spectral Imaging ◽  
Label Free ◽  
Metabolic State ◽  
Pigment Formation ◽  
Fluorescence Emission Spectra ◽  
Content Type ◽  
Endogenous Fluorophores ◽  
Fungal Hyphae

ABSTRACTLabel-free nonlinear spectral imaging microscopy (NLSM) records two-photon-excited fluorescence emission spectra of endogenous fluorophores within the specimen. Here, NLSM is introduced as a novel, minimally invasive method to analyze the metabolic state of fungal hyphae by monitoring the autofluorescence of NAD(P)H and flavin adenine dinucleotide (FAD). Moreover, the presence of melanin was analyzed by NLSM. NAD(P)H, FAD, and melanin were used as biomarkers for freshness of mushrooms ofAgaricus bisporus(white button mushroom) that had been stored at 4°C for 0 to 17 days. During this period, the mushrooms did not show changes in morphology or color detectable by eye. In contrast, FAD/NAD(P)H and melanin/NAD(P)H ratios increased over time. For instance, these ratios increased from 0.92 to 2.02 and from 0.76 to 1.53, respectively, at the surface of mushroom caps that had been harvested by cutting the stem. These ratios were lower under the skin than at the surface of fresh mushrooms (0.78 versus 0.92 and 0.41 versus 0.76, respectively), indicative of higher metabolism and lower pigment formation within the fruiting body. Signals were different not only between tissues of the mushroom but also between neighboring hyphae. These data show that NLSM can be used to determine the freshness of mushrooms and to monitor the postharvest browning process at an early stage. Moreover, these data demonstrate the potential of NLSM to address a broad range of fundamental and applied microbiological processes.

Label-Free Raman Spectral Imaging of Intracellular Delivery and Degradation of Polymeric Nanoparticle Systems

ACS Nano ◽  
2009 ◽  
Vol 3 (11) ◽  
pp. 3552-3559 ◽  
Author(s):  
Tatyana Chernenko ◽  
Christian Matthäus ◽  
Lara Milane ◽  
Luis Quintero ◽  
Mansoor Amiji ◽  
...  
Keyword(s):  
Spectral Imaging ◽  
Intracellular Delivery ◽  
Label Free ◽  
Polymeric Nanoparticle ◽  
Raman Spectral

Parallelized label-free detection of protein interactions using a hyper-spectral imaging system

2015 ◽  
Vol 7 (12) ◽  
pp. 5157-5161 ◽  
Author(s):  
H. Yoshikawa ◽  
M. Murahashi ◽  
M. Saito ◽  
S. Jiang ◽  
M. Iga ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Imaging System ◽  
Spectral Imaging ◽  
Label Free ◽  
System P ◽  
Hyper Spectral ◽  
Label Free Detection ◽  
Hyper Spectral Imaging

Parallelized detection of protein interactions using a multi-array chip and a hyper-spectral imaging system.

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