Suspended Large-Area MEMS-Based Optical Filters for Multispectral Shortwave Infrared Imaging Applications

2015 ◽  
Vol 24 (4) ◽  
pp. 1102-1110 ◽  
Author(s):  
Dhirendra Kumar Tripathi ◽  
Fei Jiang ◽  
Ramin Rafiei ◽  
K. K. M. B. Dilusha Silva ◽  
Jarek Antoszewski ◽  
...  
2013 ◽  
Author(s):  
Mark J. Furlong ◽  
Gordon Dallas ◽  
Greg Meshew ◽  
J. Patrick Flint ◽  
David Small ◽  
...  
Keyword(s):  

2002 ◽  
Author(s):  
Ronald G. Driggers ◽  
Richard H. Vollmerhausen ◽  
Nicole M. Devitt ◽  
Carl E. Halford ◽  
Kenneth J. Barnard

2018 ◽  
Author(s):  
Wei Chen ◽  
ChiAn Cheng ◽  
Emily Cosco ◽  
Shyam Ramakrishnan ◽  
Jakob Lingg ◽  
...  

Tissue is translucent to shortwave infrared (SWIR) light, rendering optical imaging superior in this region. However, the widespread use of optical SWIR imaging has been limited, in part, by the lack of bright, biocompatible contrast agents that absorb and emit light above 1000 nm. J-aggregation offers a means to transform stable, near-infrared (NIR) fluorophores into red-shifted SWIR contrast agents. Here we demonstrate that hollow mesoporous silica nanoparticles (HMSNs) can template the J-aggregation of NIR fluorophore IR-140 to result in nanomaterials that absorb and emit SWIR light. The J-aggregates inside PEGylated HMSNs are stable for multiple weeks in buffer and enable high resolution imaging <i>in vivo</i>with 980 nm excitation.


Author(s):  
Xavier Le Guevel ◽  
Benjamin Musnier ◽  
Karl D. Wegner ◽  
Maxime Henry ◽  
Agnes Desroches-Castan ◽  
...  

2017 ◽  
Vol 23 (2) ◽  
pp. 45-52 ◽  
Author(s):  
Haifeng Mao ◽  
Dhirendra Kumar Tripathi ◽  
Yongling Ren ◽  
K. K. M. B. Dilusha Silva ◽  
Mariusz Martyniuk ◽  
...  

2011 ◽  
Vol 40 (5) ◽  
pp. 673-678
Author(s):  
薛庆生 XUE Qing-sheng ◽  
林冠宇 LIN Guang-yu ◽  
宋克非 SONG Ke-fei

2015 ◽  
Vol 52 (12) ◽  
pp. 122901 ◽  
Author(s):  
任国栋 Ren Guodong ◽  
张良 Zhang Liang ◽  
兰卫华 Lan Weihua ◽  
赵延 Zhao Yan ◽  
潘晓东 Pan Xiaodong

2020 ◽  
Vol 117 (48) ◽  
pp. 30107-30117
Author(s):  
Tahmid H. Talukdar ◽  
Bria McCoy ◽  
Sarah K. Timmins ◽  
Taufiquar Khan ◽  
Judson D. Ryckman

Colorimetric sensors offer the prospect for on-demand sensing diagnostics in simple and low-cost form factors, enabling rapid spatiotemporal inspection by digital cameras or the naked eye. However, realizing strong dynamic color variations in response to small changes in sample properties has remained a considerable challenge, which is often pursued through the use of highly responsive materials under broadband illumination. In this work, we demonstrate a general colorimetric sensing technique that overcomes the performance limitations of existing chromatic and luminance-based sensing techniques. Our approach combines structural color optical filters as sensing elements alongside a multichromatic laser illuminant. We experimentally demonstrate our approach in the context of label-free biosensing and achieve ultrasensitive and perceptually enhanced chromatic color changes in response to refractive index changes and small molecule surface attachment. Using structurally enabled chromaticity variations, the human eye is able to resolve ∼0.1-nm spectral shifts with low-quality factor (e.g., Q ∼ 15) structural filters. This enables spatially resolved biosensing in large area (approximately centimeters squared) lithography-free sensing films with a naked eye limit of detection of ∼3 pg/mm2, lower than industry standard sensors based on surface plasmon resonance that require spectral or angular interrogation. This work highlights the key roles played by both the choice of illuminant and design of structural color filter, and it offers a promising pathway for colorimetric devices to meet the strong demand for high-performance, rapid, and portable (or point-of-care) diagnostic sensors in applications spanning from biomedicine to environmental/structural monitoring.


2020 ◽  
Vol 4 (8) ◽  
pp. 801-813 ◽  
Author(s):  
Mari Saif ◽  
Wilhelmus J. Kwanten ◽  
Jessica A. Carr ◽  
Ivy X. Chen ◽  
Jessica M. Posada ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document