Results 151 to 160 of about 1,115,656 (243)

Anisotropic Diffusion Based Multiplicative Speckle Noise Removal. [PDF]

Sensors (Basel), 2019
Gao M, Kang B, Feng X, Zhang W, Zhang W.
europepmc   +1 more source

Mechanophore‐Based Multichannel Colorimetric Force Sensors: Ultrasound‐Driven Stress and Strain Quantification

Advanced Science, EarlyView.
ABSTRACT Mechanophores with mechanochromic properties have attracted significant attention as force‐responsive materials for structural sensing. However, their applications remain mainly limited to qualitative force visualization, as direct and quantitative extraction of mechanical parameters such as stress and strain from mechanochromic responses has ...
Seungo Baek, Jeong Hoon Rhee, Skylar K. Osler, Minsoo P. Kim, Shyuan Cheng, Leonardo P. Chamorro, Hyunhyub Ko, Maxwell J. Robb, Gun Kim   +8 more
wiley   +1 more source

Removing Speckle Noise by Analysis Dictionary Learning

Speckle noise inherently exists in images acquired by coherent systems, for example, synthetic aperture radar (SAR) and sonar images. Removal of speckle noise is a challenging problem because the noise multiplies (rather than adds to) the original image ...
Chambers J, Dong J, Wang WW
core   +1 more source

Self‐Sustaining Sensing Systems: Integration Strategies and Signal–Power Matching in Energy‐Harvesting Electronics

Advanced Science, EarlyView.
Energy‐harvesting‐integrated sensors couple ambient energy conversion with sensing, processing, and wireless communication. This review organizes recent progress through integration architectures and operating principles, revisiting co‐packaged, monolithic, and co‐functional designs together with always‐on, event‐driven, and multi‐modal sensing modes ...
Taehyun Park, Ki‐Yoon Park, Yeonho Choi, Dong‐Myeong Shin, Hong‐Joon Yoon, Hocheon Yoo   +5 more
wiley   +1 more source

Strategies for reducing speckle noise in digital holography. [PDF]

Light Sci Appl, 2018
Bianco V, Memmolo P, Leo M, Montresor S, Distante C, Paturzo M, Picart P, Javidi B, Ferraro P.   +8 more
europepmc   +1 more source

A General High‐Throughput Mucus Microrheology Platform for Quantitative and Scalable Mucus Phenotyping

Advanced Science, EarlyView.
High‐throughput Differential Dynamic Microscopy measures frequency‐resolved mechanical fingerprints from 3 to 10 μL$\umu{\rm L}$ mucus samples using only a few minutes of operator attention per sample. This automated analysis enables scalable mucus phenotyping for translational research by distinguishing mechanical heterogeneity among donors, disease ...
Feng Ling, Ayşe Tuğçe Şahin, Bernardo Miller Naranjo, Stefano Aime, Doris Roth, Anna Pukaluk, Niels Tepho, Romina Augustin, Benedetta Zampa, Andrea S. Vendrame, Mark‐Christian Klassen, Ellen Emken, Marion Kiechle, Mircea Gabriel Stoleriu, Pontus Mertsch, Ruth Olmer, Yohannes Tesfaigzi, Oliver Lieleg, Janna C. Nawroth   +18 more
wiley   +1 more source

Compensation of Speckle Noise in 2D Images from Triangulation Laser Profile Sensors Using Local Column Median Vectors with an Application in a Quality Control System. [PDF]

Sensors (Basel)
Rotter P, Knapik D, Klemiato M, Rosół M, Putynkowski G.   +4 more
europepmc   +1 more source

Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications

Advanced Science, EarlyView.
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen, Jiahui Lai, Qiongjiao Zeng, Liangbin Zhou, Boguang Yang, Bin Zhang, Min Wang, Jiajing Zhou, Kieran Lau, Khoon S. Lim, Zhong Alan Li, Rocky S. Tuan   +11 more
wiley   +1 more source

Computational approach for correcting defocus and suppressing speckle noise in line-field optical coherence tomography images. [PDF]

Biomed Opt Express
Abbasi N, Chen K, Wong A, Bizheva K.
europepmc   +1 more source

Speckle Noise Removal in Image-based Detection of Refractive Index Changes in Porous Silicon Microarrays. [PDF]

Sci Rep, 2019
Ren R, Guo Z, Jia Z, Yang J, Kasabov NK, Li C.   +5 more
europepmc   +1 more source