2016
DOI: 10.1038/srep23453
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Quantitative non-invasive cell characterisation and discrimination based on multispectral autofluorescence features

Abstract: Automated and unbiased methods of non-invasive cell monitoring able to deal with complex biological heterogeneity are fundamentally important for biology and medicine. Label-free cell imaging provides information about endogenous autofluorescent metabolites, enzymes and cofactors in cells. However extracting high content information from autofluorescence imaging has been hitherto impossible. Here, we quantitatively characterise cell populations in different tissue types, live or fixed, by using novel image pro… Show more

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Cited by 76 publications
(80 citation statements)
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References 52 publications
(71 reference statements)
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“…In this work we utilized a fluorescence microscope adapted for multispectral imaging by adding a number of custom-made fluorescent channels (Gosnell et al, 2016a(Gosnell et al, , 2016bHabibalahi et al, 2019;Rehman et al, 2017) to characterize native fluorescence of oocytes. Images were taken in the following channels listed in the table below.…”
Section: Hyperspectral Imagingmentioning
confidence: 99%
See 1 more Smart Citation
“…In this work we utilized a fluorescence microscope adapted for multispectral imaging by adding a number of custom-made fluorescent channels (Gosnell et al, 2016a(Gosnell et al, , 2016bHabibalahi et al, 2019;Rehman et al, 2017) to characterize native fluorescence of oocytes. Images were taken in the following channels listed in the table below.…”
Section: Hyperspectral Imagingmentioning
confidence: 99%
“…To prepare spectral images for quantitative analysis and spectral unmixing, first, a multistep image preparation procedure was carried out (Gosnell et al, 2016a(Gosnell et al, , 2016bMahbub et al, 2017;Vidal and Amigo, 2012). This procedure removes sources of errors, reduces noise and standardizes the spectral images.…”
Section: Hyperspectral Imagingmentioning
confidence: 99%
“…It has been demonstrated that free and protein-bound NADH also display slightly different emission spectra, with the protein-bound NADH peaking at 440 nm and the free NADH at 470 nm. This difference can be used, for example, to differentiate between cell groups (69,70). Although the discriminating capacity between NADH populations is much smaller than with fluorescence lifetimes, it can increase the confidence of discrimination as an additional parameter (71).…”
Section: Nadh Autofluorescence Spectroscopymentioning
confidence: 99%
“…The (AFMI) system used in this study is based on an adapted IX83 Olympus microscope as previously reported [17,24,25]. It provides narrow excitation wavelength ranges (±5nm) from high power LEDs and several filter cubes to produce defined spectral regions, which span the excitation (340 nm-510 nm) and emission (420 nm-650 nm) wavelength ranges.…”
Section: Autofluorescence Multispectral Imaging (Afmi)mentioning
confidence: 99%