Potential for using mid-infrared light for non-invasive, early-detection of skin cancers in vivo

2013 ◽  
Author(s):  
Angela B. Seddon
Keyword(s):  
Early Detection ◽  
Infrared Light ◽  
Mid Infrared ◽  
Non Invasive ◽  
Skin Cancers

scholarly journals Non-invasive, opsin-free mid-infrared modulation activates cortical neurons and accelerates associative learning

2020 ◽  
Author(s):  
Xiaowei Chen ◽  
Jianxiong Zhang ◽  
Yong He ◽  
Shanshan Liang ◽  
Xiang Liao ◽  
...  
Keyword(s):  
Associative Learning ◽  
Cortical Neurons ◽  
Learning Task ◽  
Infrared Light ◽  
Learning Capability ◽  
Mid Infrared ◽  
Brain Neurons ◽  
Non Invasive ◽  
Learning Capabilities

Abstract Boosting learning capability represents a long-sought dream of mankind. Neurostimulant drugs or magnetic/electrical stimulation techniques can overcome attention deficits, but these drugs or techniques are weakly beneficial in boosting the learning capabilities of healthy subjects. Here, we report a stimulation technique, mid-infrared modulation (MIM), that delivers mid-infrared light energy through opened skull or even non-invasively through thinned intact skull and can activate brain neurons in vivo without introducing any exogeneous gene. Using c-Fos immunohistochemistry, in vivo single-cell electrophysiology and two-photon Ca2+ imaging in mice, we demonstrate that MIM significantly induces firing activities of neurons in the targeted cortical area. Moreover, mice that receive MIM targeting to the auditory cortex during an auditory associative learning task exhibit a strikingly faster learning speed (~ 50% faster) than control mice. Together, this non-invasive, opsin-free MIM technique is demonstrated with a great translational potential for activating brain neurons and boosting brain learning capability.

scholarly journals Non-invasive, opsin-free mid-infrared modulation activates cortical neurons and accelerates associative learning

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jianxiong Zhang ◽  
Yong He ◽  
Shanshan Liang ◽  
Xiang Liao ◽  
Tong Li ◽  
...  
Keyword(s):  
Associative Learning ◽  
Cortical Neurons ◽  
Learning Task ◽  
Infrared Light ◽  
Mid Infrared ◽  
Two Photon ◽  
Non Invasive ◽  
Learning Speed ◽  
Learning Capabilities

AbstractNeurostimulant drugs or magnetic/electrical stimulation techniques can overcome attention deficits, but these drugs or techniques are weakly beneficial in boosting the learning capabilities of healthy subjects. Here, we report a stimulation technique, mid-infrared modulation (MIM), that delivers mid-infrared light energy through the opened skull or even non-invasively through a thinned intact skull and can activate brain neurons in vivo without introducing any exogeneous gene. Using c-Fos immunohistochemistry, in vivo single-cell electrophysiology and two-photon Ca2+ imaging in mice, we demonstrate that MIM significantly induces firing activities of neurons in the targeted cortical area. Moreover, mice that receive MIM targeting to the auditory cortex during an auditory associative learning task exhibit a faster learning speed (~50% faster) than control mice. Together, this non-invasive, opsin-free MIM technique is demonstrated with potential for modulating neuronal activity.

scholarly journals Noninvasive in vivo glucose sensing on human subjects using mid-infrared light

2014 ◽  
Vol 5 (7) ◽  
pp. 2397 ◽  
Author(s):  
Sabbir Liakat ◽  
Kevin A. Bors ◽  
Laura Xu ◽  
Callie M. Woods ◽  
Jessica Doyle ◽  
...  
Keyword(s):  
Human Subjects ◽  
Glucose Sensing ◽  
Infrared Light ◽  
Mid Infrared

IC-P-127: Non-invasive early detection of beta-amyloid molecular pathology by quasi-elastic light scattering in vivo

2006 ◽  
Vol 2 ◽  
pp. S703-S703
Author(s):  
Lee E. Goldstein ◽  
Robert Moir ◽  
Suqian Lu ◽  
Ling Fu ◽  
Oliver Chadwick ◽  
...  
Keyword(s):  
Light Scattering ◽  
Early Detection ◽  
Molecular Pathology ◽  
Beta Amyloid ◽  
Elastic Light Scattering ◽  
Non Invasive

scholarly journals P1-128: Non-invasive early detection of beta-amyloid molecular pathology by quasi-elastic light scattering in vivo

2006 ◽  
Vol 2 ◽  
pp. S133-S133 ◽  
Author(s):  
Lee E. Goldstein ◽  
Robert Moir ◽  
Suqian Lu ◽  
Ling Fu ◽  
Oliver Chadwick ◽  
...  
Keyword(s):  
Light Scattering ◽  
Early Detection ◽  
Molecular Pathology ◽  
Beta Amyloid ◽  
Elastic Light Scattering ◽  
Non Invasive

scholarly journals Optical Sectioning of Live Mammal with Near-Infrared Light Sheet

2018 ◽  
Author(s):  
Feifei Wang ◽  
Hao Wan ◽  
Jingying Yue ◽  
Mingxi Zhang ◽  
Zhuoran Ma ◽  
...  
Keyword(s):  
Near Infrared ◽  
Optical Excitation ◽  
Light Sheet ◽  
Infrared Light ◽  
Optical Sectioning ◽  
Spatiotemporal Resolution ◽  
Near Infrared Light ◽  
Light Sheet Microscopy ◽  
Non Invasive

AbstractDeep-tissue three-dimensional optical imaging of live mammals in vivo with high spatiotemporal resolution in non-invasive manners has been challenging due to light scattering. Here, we developed near-infrared (NIR) light sheet microscopy (LSM) with optical excitation and emission wavelengths up to ~ 1320 nm and ~ 1700 nm respectively, far into the NIR-II (1000-1700 nm) region for 3D optical sectioning through live tissues. Suppressed scattering of both excitation and emission photons allowed one-photon optical sectioning at ~ 2 mm depth in highly scattering brain tissues. NIR-II LSM enabled non-invasive in vivo imaging of live mice, revealing never-before-seen dynamic processes such as highly abnormal tumor microcirculation, and 3D molecular imaging of an important immune checkpoint protein, programmed-death ligand 1 (PD-L1) receptors at the single cell scale in tumors. In vivo two-color near-infrared light sheet sectioning enabled simultaneous volumetric imaging of tumor vasculatures and PD-L1 proteins in live mammals.

scholarly journals Automated Non-invasive Skin Cancer Detection using Dermoscopic Images

2021 ◽  
Vol 40 ◽  
pp. 03044
Author(s):  
Shruti Kale ◽  
Reema Kharat ◽  
Sagarika Kalyankar ◽  
Sangita Chaudhari ◽  
Apurva Shinde
Keyword(s):  
Skin Cancer ◽  
Early Detection ◽  
Cancer Detection ◽  
Medical Practitioners ◽  
Non Invasive ◽  
Skin Cancers ◽  
Proposed Model ◽  
Biopsy Methods ◽  
Treatment Procedures ◽  
Skin Cancer Detection

Skin Cancer is resulting from the growth of the harmful tumour of the melanocytes the rates are rising to another level. The medical business is advancing with the innovation of recent technologies; newer tending technology and treatment procedures are being developed. The early detection of skin cancer can help the chance of increase in its growth in other parts of body. In recent years, medical practitioners tend to use non invasive Computer aided system to detect the skin cancers in early phase of its spreading instead of relying on traditional skin biopsy methods. Convolution neural network model is proposed and used for early detection of the cancer, and it type. The proposed model could classify the dermoscopic images into correct type with accuracy 91.2%.

scholarly journals In vivo measurement of mid-infrared light scattering from human skin

2013 ◽  
Vol 4 (4) ◽  
pp. 520 ◽  
Author(s):  
Anna P. M. Michel ◽  
Sabbir Liakat ◽  
Kevin Bors ◽  
Claire F. Gmachl
Keyword(s):  
Light Scattering ◽  
Human Skin ◽  
Infrared Light ◽  
Mid Infrared ◽  
In Vivo Measurement

Fluorescent proteins for in vivo imaging, where's the biliverdin?

2020 ◽  
Vol 48 (6) ◽  
pp. 2657-2667
Author(s):  
Felipe Montecinos-Franjola ◽  
John Y. Lin ◽  
Erik A. Rodriguez
Keyword(s):  
Hydrogen Peroxide ◽  
In Vivo Imaging ◽  
Near Infrared ◽  
Fluorescent Protein ◽  
Fluorescent Proteins ◽  
Fluorescent Imaging ◽  
Infrared Light ◽  
Red Fluorescent Protein ◽  
Color Palette

Noninvasive fluorescent imaging requires far-red and near-infrared fluorescent proteins for deeper imaging. Near-infrared light penetrates biological tissue with blood vessels due to low absorbance, scattering, and reflection of light and has a greater signal-to-noise due to less autofluorescence. Far-red and near-infrared fluorescent proteins absorb light >600 nm to expand the color palette for imaging multiple biosensors and noninvasive in vivo imaging. The ideal fluorescent proteins are bright, photobleach minimally, express well in the desired cells, do not oligomerize, and generate or incorporate exogenous fluorophores efficiently. Coral-derived red fluorescent proteins require oxygen for fluorophore formation and release two hydrogen peroxide molecules. New fluorescent proteins based on phytochrome and phycobiliproteins use biliverdin IXα as fluorophores, do not require oxygen for maturation to image anaerobic organisms and tumor core, and do not generate hydrogen peroxide. The small Ultra-Red Fluorescent Protein (smURFP) was evolved from a cyanobacterial phycobiliprotein to covalently attach biliverdin as an exogenous fluorophore. The small Ultra-Red Fluorescent Protein is biophysically as bright as the enhanced green fluorescent protein, is exceptionally photostable, used for biosensor development, and visible in living mice. Novel applications of smURFP include in vitro protein diagnostics with attomolar (10−18 M) sensitivity, encapsulation in viral particles, and fluorescent protein nanoparticles. However, the availability of biliverdin limits the fluorescence of biliverdin-attaching fluorescent proteins; hence, extra biliverdin is needed to enhance brightness. New methods for improved biliverdin bioavailability are necessary to develop improved bright far-red and near-infrared fluorescent proteins for noninvasive imaging in vivo.

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