Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ege Cetintas"'
Autor:
Yijie Zhang, Manmohan Singh, Tairan Liu, Ege Cetintas, Yair Rivenson, Kirill V. Larin, Yilin Luo, Aydogan Ozcan
Publikováno v:
Light: Science & Applications, Vol 10, Iss 1, Pp 1-14 (2021)
Light, Science & Applications
Light, Science & Applications
Optical Coherence Tomography (OCT) is a widely used non-invasive biomedical imaging modality that can rapidly provide volumetric images of samples. Here, we present a deep learning-based image reconstruction framework that can generate swept-source O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c32d8f44794097384f2a93b03580152
Publikováno v:
ACS sensors, vol 6, iss 6
Various volatile aerosols have been associated with adverse health effects; however, characterization of these aerosols is challenging due to their dynamic nature. Here we present a method that directly measures the volatility of particulate matter (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bc7aae6da151da7c73aedc6611dc42a
Publikováno v:
Light: Science & Applications, Vol 12, Iss 1, Pp 1-15 (2023)
Abstract Classification of an object behind a random and unknown scattering medium sets a challenging task for computational imaging and machine vision fields. Recent deep learning-based approaches demonstrated the classification of objects using dif
Externí odkaz:
https://doaj.org/article/cf5db6e83d3a421da407b58cbc49bd4a
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract The past decade marked a drastic increase in the usage of electronic cigarettes. The adverse health impact of secondhand exposure due to exhaled e-cig particles has raised significant concerns, demanding further research on the characteristi
Externí odkaz:
https://doaj.org/article/97bbf3c2a0f749f4a096fd2bca396733