Journal: Journal of Nanobiotechnology

Article Title: Self-illuminating quantum dots for non-invasive bioluminescence imaging of mammalian gametes

doi: 10.1186/s12951-015-0097-1

Figure Lengend Snippet: Hyperspectral fluorescence imaging of QD-BRET (QD) labeled spermatozoa. Negative control spermatozoa ( a ) were used to remove false positive signals and validation of QD-BRET fluorescence spectral libraries that were captured around or near 655 nm emission wavelength, as indicated by the arrow ( b ). Hyperspectral images of spermatozoa were taken ( a , c , e ) followed by the comparison of all pixels with the QD1− and QD1+ spectral libraries (Not shown here). Pixels that matched the spectral are mapped with a pseudo-red color ( arrows ) illustrating the presence and location of QD1− ( d ) or QD1+ ( f ).

Article Snippet: Hyperspectral data were quantified (CytoViva Hyperspectral Image Analysis Software algorithm).

Techniques: Fluorescence, Imaging, Labeling, Negative Control, Biomarker Discovery, Comparison

Journal: Journal of Nanobiotechnology

Article Title: Self-illuminating quantum dots for non-invasive bioluminescence imaging of mammalian gametes

doi: 10.1186/s12951-015-0097-1

Figure Lengend Snippet: Hyperspectral fluorescence imaging of QD-BRET (QD)-labeled COCs and ovarian follicles. Micrographs show samples that were labeled with QD1− ( b , e ) and QD1+ ( c , f ). Control samples ( a , d ) were used to remove false positive signals and validate spectral libraries, as indicated in Figure b. Hyperspectral images were taken and matched to the spectral libraries to map the presence and location of QD1− and QD1+ in COCs ( b , c , respectively) and follicle sections ( e , f , respectively). Red arrows indicate fluorescence signals in pseudo-red color. No fluorescence signals were seen in the controls ( a , d ).

Article Snippet: Hyperspectral data were quantified (CytoViva Hyperspectral Image Analysis Software algorithm).

Techniques: Fluorescence, Imaging, Labeling, Control