Using lead chalcogenide nanocrystals as spin mixers: a perspective on near-infrared-to-visible upconversion

2018 ◽  
Vol 47 (26) ◽  
pp. 8509-8516 ◽  
Author(s):  
Lea Nienhaus ◽  
Mengfei Wu ◽  
Vladimir Bulović ◽  
Marc A. Baldo ◽  
Moungi G. Bawendi
Keyword(s):  
Near Infrared ◽  
Lead Chalcogenide ◽  
Recent Advances ◽  
Triplet Triplet Annihilation

This perspective highlights recent advances in the field of PbS NC-sensitized near-infrared-to-visible upconversion based on triplet–triplet annihilation in rubrene.

scholarly journals Near-infrared lead chalcogenide quantum dots: Synthesis and applications in light emitting diodes

2019 ◽  
Vol 28 (12) ◽  
pp. 128504 ◽  
Author(s):  
Haochen Liu ◽  
Huaying Zhong ◽  
Fankai Zheng ◽  
Yue Xie ◽  
Depeng Li ◽  
...  
Keyword(s):  
Quantum Dots ◽  
Near Infrared ◽  
Light Emitting Diodes ◽  
Lead Chalcogenide ◽  
Light Emitting

Zooming into the complex dusty envelopes of C-rich AGB stars

2018 ◽  
Vol 14 (S343) ◽  
pp. 456-457
Author(s):  
Foteini Lykou ◽  
Josef Hron ◽  
Daniela Klotz
Keyword(s):  
Temperature Distribution ◽  
Near Infrared ◽  
Angular Resolution ◽  
High Angular Resolution ◽  
Dust Formation ◽  
Agb Stars ◽  
Circumstellar Envelopes ◽  
Recent Advances ◽  
Multi Wavelength

AbstractRecent advances in high-angular resolution instruments (VLT and VLTI, ALMA) have enabled us to delve deep into the circumstellar envelopes of AGB stars from the optical to the sub-mm wavelengths, thus allowing us to study in detail the gas and dust formation zones (e.g., their geometry, chemistry and kinematics). This work focuses on four (4) C-rich AGB stars observed with a high-angular resolution technique in the near-infrared: a multi-wavelength tomographic study of the dusty layers of the circumstellar envelopes of these C-rich stars, i.e. the variations in the morphology and temperature distribution.

Recent Advances of Red/Near Infrared Light Responsive Carbon Dots for Tumor Therapy

2021 ◽  
Vol 42 (08) ◽  
pp. 1155-1171
Author(s):  
Fu-chun NAN ◽  
◽  
Xiao-kuang XUE ◽  
Jie-chao GE ◽  
Peng-fei WANG ◽  
...  
Keyword(s):  
Carbon Dots ◽  
Near Infrared ◽  
Tumor Therapy ◽  
Infrared Light ◽  
Near Infrared Light ◽  
Recent Advances

Photon upconversion: from two-photon absorption (TPA) to triplet–triplet annihilation (TTA)

2016 ◽  
Vol 18 (16) ◽  
pp. 10818-10835 ◽  
Author(s):  
Changqing Ye ◽  
Liwei Zhou ◽  
Xiaomei Wang ◽  
Zuoqin Liang
Keyword(s):  
Molecular Engineering ◽  
Photon Absorption ◽  
Two Photon Absorption ◽  
Two Photon ◽  
Recent Advances ◽  
Triplet Triplet Annihilation

Recent advances and remaining challenges are presented in the areas of TPA/TTA-UC, with particular emphasis on molecular engineering of these two upconversion materials.

scholarly journals Proximal Methods for Plant Stress Detection Using Optical Sensors and Machine Learning

Biosensors ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 193
Author(s):  
Alanna V. Zubler ◽  
Jeong-Yeol Yoon
Keyword(s):  
Machine Learning ◽  
Optical Sensors ◽  
Near Infrared ◽  
Plant Stress ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Detection Methods ◽  
Stress Detection ◽  
Recent Advances ◽  
Wide Range

Plant stresses have been monitored using the imaging or spectrometry of plant leaves in the visible (red-green-blue or RGB), near-infrared (NIR), infrared (IR), and ultraviolet (UV) wavebands, often augmented by fluorescence imaging or fluorescence spectrometry. Imaging at multiple specific wavelengths (multi-spectral imaging) or across a wide range of wavelengths (hyperspectral imaging) can provide exceptional information on plant stress and subsequent diseases. Digital cameras, thermal cameras, and optical filters have become available at a low cost in recent years, while hyperspectral cameras have become increasingly more compact and portable. Furthermore, smartphone cameras have dramatically improved in quality, making them a viable option for rapid, on-site stress detection. Due to these developments in imaging technology, plant stresses can be monitored more easily using handheld and field-deployable methods. Recent advances in machine learning algorithms have allowed for images and spectra to be analyzed and classified in a fully automated and reproducible manner, without the need for complicated image or spectrum analysis methods. This review will highlight recent advances in portable (including smartphone-based) detection methods for biotic and abiotic stresses, discuss data processing and machine learning techniques that can produce results for stress identification and classification, and suggest future directions towards the successful translation of these methods into practical use.

Recent advances of polyoxometalates in multi-functional imaging and photothermal therapy

2020 ◽  
Vol 8 (36) ◽  
pp. 8189-8206 ◽  
Author(s):  
Xueping Kong ◽  
Guofeng Wan ◽  
Bao Li ◽  
Lixin Wu
Keyword(s):  
Functional Imaging ◽  
Photothermal Therapy ◽  
Near Infrared ◽  
Imaging Techniques ◽  
Tumor Therapy ◽  
Recent Advances ◽  
Bio Imaging

The recent advances of polyoxometalate clusters in terms of near infrared photothermal properties for targeted tumor therapy have been summarized while the combined applications with various bio-imaging techniques and chemotherapies are reviewed.

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