Results 11 to 20 of about 2,208,977 (261)

Bridging the resolution gap: correlative super-resolution imaging [PDF]

open access: yesNature Reviews Microbiology, 2019
This month’s Under the Lens discusses progress towards bridging the resolution gap in correlative super-resolution light and electron microscopy, and highlights its application for visualizing bacterial ...
Ian Dobbie
exaly   +2 more sources

Super resolution for root imaging [PDF]

open access: yesApplications in Plant Sciences, 2020
Premise High‐resolution cameras are very helpful for plant phenotyping as their images enable tasks such as target vs. background discrimination and the measurement and analysis of fine above‐ground plant attributes.
Jose F. Ruiz‐Munoz   +4 more
doaj   +5 more sources

Image Super Resolution using Enhanced Super Resolution Generative Adversarial Network [PDF]

open access: yesITM Web of Conferences, 2022
Aside from enhancing the accuracy and speed of single picture modification utilizing fast and in-depth convolutional emotional networks, one significant challenge remains mostly commonly unaddressed, namely how do we recover soft texture details when we ...
Sarode Raj   +3 more
doaj   +1 more source

Terahertz time-domain attenuated total reflection spectroscopy integrated with a microfluidic chip

open access: yesFrontiers in Bioengineering and Biotechnology, 2023
The integration of a microfluidic chip into terahertz time-domain attenuated total reflection (THz TD-ATR) spectroscopy is highly demanded for the accurate measurement of aqueous samples.
Ying Fu   +14 more
doaj   +1 more source

Super-resolution radar [PDF]

open access: yesInformation and Inference, 2016
In this paper we study the identification of a time-varying linear system from its response to a known input signal. More specifically, we consider systems whose response to the input signal is given by a weighted superposition of delayed and Doppler shifted versions of the input.
Reinhard Heckel   +2 more
openaire   +3 more sources

Review of Image Super-resolution Reconstruction Algorithms Based on Deep Learning [PDF]

open access: yesJisuanji kexue yu tansuo, 2022
The essence of image super-resolution reconstruction technology is to break through the limitation of hardware conditions, and reconstruct a high-resolution image from a low-resolution image which contains less infor-mation through the image super ...
YANG Caidong, LI Chengyang, LI Zhongbo, XIE Yongqiang, SUN Fangwei, QI Jin
doaj   +1 more source

Cargo sorting zones in the trans-Golgi network visualized by super-resolution confocal live imaging microscopy in plants

open access: yesNature Communications, 2021
The trans-Golgi network (TGN) serves as a platform to sort and transport proteins to their final destinations. Here the authors show that the TGN of Arabidopsis consists of spatially and temporally distinct subregions and propose that these zones may ...
Yutaro Shimizu   +12 more
doaj   +1 more source

The yeast endocytic early/sorting compartment exists as an independent sub-compartment within the trans-Golgi network

open access: yeseLife, 2023
Although budding yeast has been extensively used as a model organism for studying organelle functions and intracellular vesicle trafficking, whether it possesses an independent endocytic early/sorting compartment that sorts endocytic cargos to the endo ...
Junko Y Toshima   +6 more
doaj   +1 more source

Live-cell Imaging by Super-resolution Confocal Live Imaging Microscopy (SCLIM): Simultaneous Three-color and Four-dimensional Live Cell Imaging with High Space and Time Resolution

open access: yesBio-Protocol, 2020
Many questions in cell biology can be solved by state-of-the-art technology of live cell imaging. One good example is the mechanism of membrane traffic, in which small membrane carriers are rapidly moving around in the cytoplasm to deliver cargo proteins
Kazuo Kurokawa, Akihiko Nakano
doaj   +1 more source

Edge Profile Super Resolution

open access: yesIEEE Access, 2021
The purpose of single-image super resolution (SISR) is to reconstruct an accurate high-resolution image from a degraded low-resolution image. Owing to the lack of information in low-resolution images, SISR is a challenging problem.
Jiun Lee, Inyong Yun, Jaekwang Kim
doaj   +1 more source

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