Multiphoton fluorescence imaging through biological tissue and image reconstruction

2001 ◽  
Author(s):  
Xiasong Gan ◽  
Min Gu
Keyword(s):  
Image Reconstruction ◽  
Fluorescence Imaging ◽  
Biological Tissue

scholarly journals Absorption by water increases fluorescence image contrast of biological tissue in the shortwave infrared

2018 ◽  
Vol 115 (37) ◽  
pp. 9080-9085 ◽  
Author(s):  
Jessica A. Carr ◽  
Marianne Aellen ◽  
Daniel Franke ◽  
Peter T. C. So ◽  
Oliver T. Bruns ◽  
...  
Keyword(s):  
Penetration Depth ◽  
Fluorescence Imaging ◽  
Biological Tissue ◽  
Ex Vivo ◽  
Scattered Light ◽  
Image Contrast ◽  
Fluorescence Image ◽  
Tissue Phantoms ◽  
Shortwave Infrared

Recent technology developments have expanded the wavelength window for biological fluorescence imaging into the shortwave infrared. We show here a mechanistic understanding of how drastic changes in fluorescence imaging contrast can arise from slight changes of imaging wavelength in the shortwave infrared. We demonstrate, in 3D tissue phantoms and in vivo in mice, that light absorption by water within biological tissue increases image contrast due to attenuation of background and highly scattered light. Wavelengths of strong tissue absorption have conventionally been avoided in fluorescence imaging to maximize photon penetration depth and photon collection, yet we demonstrate that imaging at the peak absorbance of water (near 1,450 nm) results in the highest image contrast in the shortwave infrared. Furthermore, we show, through microscopy of highly labeled ex vivo biological tissue, that the contrast improvement from water absorption enables resolution of deeper structures, resulting in a higher imaging penetration depth. We then illustrate these findings in a theoretical model. Our results suggest that the wavelength-dependent absorptivity of water is the dominant optical property contributing to image contrast, and is therefore crucial for determining the optimal imaging window in the infrared.

SR x‐ray fluorescence imaging by image reconstruction technique

1989 ◽  
Vol 60 (7) ◽  
pp. 2458-2461 ◽  
Author(s):  
Atsuo Iida ◽  
Mamoru Takahashi ◽  
Kenji Sakurai ◽  
Yohichi Gohshi
Keyword(s):  
Image Reconstruction ◽  
Fluorescence Imaging ◽  
Reconstruction Technique ◽  
X Ray ◽  
Image Reconstruction Technique

scholarly journals Intravital fluorescence imaging of mouse brain using implantable semiconductor devices and epi-illumination of biological tissue

2015 ◽  
Vol 6 (5) ◽  
pp. 1553 ◽  
Author(s):  
Hiroaki Takehara ◽  
Yasumi Ohta ◽  
Mayumi Motoyama ◽  
Makito Haruta ◽  
Mizuki Nagasaki ◽  
...  
Keyword(s):  
Fluorescence Imaging ◽  
Mouse Brain ◽  
Biological Tissue ◽  
Semiconductor Devices

Long-lived luminescence of colloidal silicon quantum dots for time-gated fluorescence imaging in the second near infrared window in biological tissue

Nanoscale ◽  
2018 ◽  
Vol 10 (29) ◽  
pp. 13902-13907 ◽  
Author(s):  
Makoto Sakiyama ◽  
Hiroshi Sugimoto ◽  
Minoru Fujii
Keyword(s):  
Quantum Dots ◽  
Fluorescence Imaging ◽  
Biological Tissue ◽  
Near Infrared ◽  
Biological Tissues ◽  
Silicon Quantum Dots ◽  
Infrared Window

Boron and phosphorus codoped silicon quantum dots are dispersible in water and exhibit luminescence in the first (NIR-I) and second (NIR-II) near infrared windows in biological tissues.

Multidimensional Fluorescence Imaging Applied to Biological Tissue

2006 ◽  
pp. 477-524 ◽  
Author(s):  
Daniel S. Elson ◽  
Neil Galletly ◽  
Clifford Talbot ◽  
Jose Requejo-Isidro ◽  
James McGinty ◽  
...  
Keyword(s):  
Fluorescence Imaging ◽  
Biological Tissue ◽  
Multidimensional Fluorescence

Advances in Microprobe Analysis Applied to Muscle, Nerve and Gland

1982 ◽  
Vol 40 ◽  
pp. 404-407
Author(s):  
T. E. Hutchinson ◽  
D. E. Johnson ◽  
A. C. Lee ◽  
E. Y. Wang
Keyword(s):  
Biological Tissue ◽  
Microprobe Analysis ◽  
Physiological State ◽  
External Environment ◽  
Physiological Relevance ◽  
Muscle Nerve ◽  
Technique Development

Microprobe analysis of biological tissue is now in the end phase of transition from instrumental and technique development to applications pertinent to questions of physiological relevance. The promise,implicit in early investigative efforts, is being fulfilled to an extent much greater than many had predicted. It would thus seem appropriate to briefly report studies exemplifying this, ∿. In general, the distributions of ions in tissue in a preselected physiological state produced by variations in the external environment is of importance in elucidating the mechanisms of exchange and regulation of these ions.

Criteria and Methods for Reliable Three-Dimensional Image Reconstruction

1974 ◽  
Vol 32 ◽  
pp. 330-331
Author(s):  
R. A. Crowther
Keyword(s):  
Image Reconstruction ◽  
Finite Number ◽  
Density Distribution ◽  
Electron Micrographs ◽  
Mathematical Problem ◽  
Three Dimensional ◽  
Ideal Case ◽  
Dimensional Image ◽  
General Object ◽  
The Ideal

The reconstruction of a three-dimensional image of a specimen from a set of electron micrographs reduces, under certain assumptions about the imaging process in the microscope, to the mathematical problem of reconstructing a density distribution from a set of its plane projections.In the absence of noise we can formulate a purely geometrical criterion, which, for a general object, fixes the resolution attainable from a given finite number of views in terms of the size of the object. For simplicity we take the ideal case of projections collected by a series of m equally spaced tilts about a single axis.

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