Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2017 1
2018 1
2019 2
2020 3
2021 4
2022 6
2023 6
2024 2

Text availability

Article attribute

Article type

Publication date

Search Results

24 results

Results by year

Filters applied: . Clear all
Page 1
Deep Learning-Based Sensor Array: 3D Fluorescence Spectra of Gold Nanoclusters for Qualitative and Quantitative Analysis of Vitamin B(6) Derivatives.
Noreldeen HAA, Huang KY, Wu GW, Peng HP, Deng HH, Chen W. Noreldeen HAA, et al. Anal Chem. 2022 Jul 5;94(26):9287-9296. doi: 10.1021/acs.analchem.2c00655. Epub 2022 Jun 18. Anal Chem. 2022. PMID: 35723526
Also, the transfer of deep learning model from one task to a similar task needs to be present more in the fluorescence-based biosensor. Therefore, to address these problems, two deep learning models based on the intrinsic fingerprint of 3D fluorescence spectr …
Also, the transfer of deep learning model from one task to a similar task needs to be present more in the fluorescence-based biosenso …
3D convolutional neural networks predict cellular metabolic pathway use from fluorescence lifetime decay data.
Hu L, De Hoyos D, Lei Y, West AP, Walsh AJ. Hu L, et al. APL Bioeng. 2024 Feb 27;8(1):016112. doi: 10.1063/5.0188476. eCollection 2024 Mar. APL Bioeng. 2024. PMID: 38420625 Free PMC article.
The 3D CNN models achieved over 90% accuracy in identifying cancer cells reliant on glycolysis, oxidative phosphorylation, or glutaminolysis. ...Furthermore, the use of 3D CNNs to identify metabolic phenotypes from NADH fluorescence lifetime decay imag …
The 3D CNN models achieved over 90% accuracy in identifying cancer cells reliant on glycolysis, oxidative phosphorylation, or …
Identification and quantification of counterfeit sesame oil by 3D fluorescence spectroscopy and convolutional neural network.
Wu X, Zhao Z, Tian R, Shang Z, Liu H. Wu X, et al. Food Chem. 2020 May 1;311:125882. doi: 10.1016/j.foodchem.2019.125882. Epub 2019 Nov 16. Food Chem. 2020. PMID: 31767482
The method of 3D fluorescence spectroscopy combined with convolutional neural network (CNN) was developed to identify the counterfeit sesame oil. AlexNet, a pre-trained CNN architecture, was transferred to extract spectral characteristics. ...
The method of 3D fluorescence spectroscopy combined with convolutional neural network (CNN) was developed to identify t …
Intelligent fluorescence image analysis of giant unilamellar vesicles using convolutional neural network.
Lee IH, Passaro S, Ozturk S, Ureña J, Wang W. Lee IH, et al. BMC Bioinformatics. 2022 Jan 21;23(1):48. doi: 10.1186/s12859-022-04577-2. BMC Bioinformatics. 2022. PMID: 35062867 Free PMC article.
This analysis is complicated, requiring a careful manual examination by researchers, so automating the analysis can significantly aid in improving its efficiency and reliability. RESULTS: We developed a convolutional neural network (CNN) assisted intelligent analysis routi …
This analysis is complicated, requiring a careful manual examination by researchers, so automating the analysis can significantly aid in imp …
A Method of Water COD Retrieval Based on 1D CNN and 2D Gabor Transform for Absorption-Fluorescence Spectra.
Xia M, Yang R, Zhao N, Chen X, Dong M, Chen J. Xia M, et al. Micromachines (Basel). 2023 May 27;14(6):1128. doi: 10.3390/mi14061128. Micromachines (Basel). 2023. PMID: 37374713 Free PMC article.
To address the problem of COD retrieval errors in the absorption spectrum method for fluorescent organic matter solutions, a rapid synchronous COD retrieval method for the absorption-fluorescence spectrum is proposed. ...Results show that the RRMSEP of the absorptio …
To address the problem of COD retrieval errors in the absorption spectrum method for fluorescent organic matter solutions, a rapid sy …
Prediction of Spheroid Cell Death Using Fluorescence Staining and Convolutional Neural Networks.
Srisongkram T, Syahid NF, Piyasawetkul T, Thirawatthanasak P, Khamtang P, Sawasnopparat N, Tookkane D, Weerapreeyakul N, Puthongking P. Srisongkram T, et al. Chem Res Toxicol. 2023 Dec 18;36(12):1980-1989. doi: 10.1021/acs.chemrestox.3c00257. Epub 2023 Dec 5. Chem Res Toxicol. 2023. PMID: 38052002
We also applied the transfer learning-containing convolutional neural network (CNN) to further determine spheroid cell death with fluorescence labeling. ...One can predict keratinocyte spheroid cell death if that spheroid image contains the fluorescence signa …
We also applied the transfer learning-containing convolutional neural network (CNN) to further determine spheroid cell death with …
Deep learning-based fluorescence image correction for high spatial resolution precise dosimetry.
Nomura Y, Ashraf MR, Shi M, Xing L. Nomura Y, et al. Phys Med Biol. 2023 Sep 27;68(19). doi: 10.1088/1361-6560/acf182. Phys Med Biol. 2023. PMID: 37591253
Objective.While radiation-excited fluorescence imaging has great potential to measure absolute 2D dose distributions with high spatial resolution, the fluorescence images are contaminated by noise or artifacts due to Cherenkov light, scattered light or background no …
Objective.While radiation-excited fluorescence imaging has great potential to measure absolute 2D dose distributions with high spatia …
Three-dimensional localization microscopy using deep learning.
Zelger P, Kaser K, Rossboth B, Velas L, Schütz GJ, Jesacher A. Zelger P, et al. Opt Express. 2018 Dec 10;26(25):33166-33179. doi: 10.1364/OE.26.033166. Opt Express. 2018. PMID: 30645473 Free article.
In test experiments conducted on fluorescent microbeads, we show that the precision obtained with a CNN can be comparable to that of maximum likelihood estimation (MLE), which is the accepted gold standard. ...If only five parameters are estimated (3D positio …
In test experiments conducted on fluorescent microbeads, we show that the precision obtained with a CNN can be comparable to t …
Tri-view two-photon microscopic image registration and deblurring with convolutional neural networks.
Lee S, Kume H, Urakubo H, Kasai H, Ishii S. Lee S, et al. Neural Netw. 2022 Aug;152:57-69. doi: 10.1016/j.neunet.2022.04.011. Epub 2022 Apr 19. Neural Netw. 2022. PMID: 35504196
Two-photon fluorescence microscopy has enabled the three-dimensional (3D) neural imaging of deep cortical regions. ...To address this problem, we propose a novel approach for restoring the isotropic image volume by estimating and fusing the intersection regions of t …
Two-photon fluorescence microscopy has enabled the three-dimensional (3D) neural imaging of deep cortical regions. ...To addre …
3D convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis.
Tokuoka Y, Yamada TG, Mashiko D, Ikeda Z, Hiroi NF, Kobayashi TJ, Yamagata K, Funahashi A. Tokuoka Y, et al. NPJ Syst Biol Appl. 2020 Oct 20;6(1):32. doi: 10.1038/s41540-020-00152-8. NPJ Syst Biol Appl. 2020. PMID: 33082352 Free PMC article.
To quantify the nuclear region of every cell from a time-series 3D fluorescence microscopic image of living cells, we developed QCANet, a convolutional neural network-based segmentation algorithm for 3D fluorescence bioimages. We demonstrated that QCAN …
To quantify the nuclear region of every cell from a time-series 3D fluorescence microscopic image of living cells, we develope …
24 results