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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 …
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 …
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 …
Convolutional neural networks for reconstruction of undersampled optical projection tomography data applied to in vivo imaging of zebrafish.
Davis SPX, Kumar S, Alexandrov Y, Bhargava A, da Silva Xavier G, Rutter GA, Frankel P, Sahai E, Flaxman S, French PMW, McGinty J. Davis SPX, et al. J Biophotonics. 2019 Dec;12(12):e201900128. doi: 10.1002/jbio.201900128. Epub 2019 Aug 29. J Biophotonics. 2019. PMID: 31386281 Free PMC article.
Optical projection tomography (OPT) is a 3D mesoscopic imaging modality that can utilize absorption or fluorescence contrast. 3D images can be rapidly reconstructed from tomographic data sets sampled with sufficient numbers of projection angles using the Rado …
Optical projection tomography (OPT) is a 3D mesoscopic imaging modality that can utilize absorption or fluorescence contrast. …
Application and Comparison of Supervised Learning Strategies to Classify Polarity of Epithelial Cell Spheroids in 3D Culture.
Soetje B, Fuellekrug J, Haffner D, Ziegler WH. Soetje B, et al. Front Genet. 2020 Mar 27;11:248. doi: 10.3389/fgene.2020.00248. eCollection 2020. Front Genet. 2020. PMID: 32292417 Free PMC article.
With the potential of a high-throughput method, the main obstacle to efficient application of the spheroid formation assay so far is the laborious, time-consuming, and bias-prone analysis of spheroid images by individuals. Hundredths of multidimensional fluorescence images …
With the potential of a high-throughput method, the main obstacle to efficient application of the spheroid formation assay so far is the lab …
Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning.
Nguyen C, Sagan V, Maimaitiyiming M, Maimaitijiang M, Bhadra S, Kwasniewski MT. Nguyen C, et al. Sensors (Basel). 2021 Jan 22;21(3):742. doi: 10.3390/s21030742. Sensors (Basel). 2021. PMID: 33499335 Free PMC article.
The results showed that: (1) the discriminative wavelength regions included the 900-940 nm range in the near-infrared (NIR) region in vines 30 days after sowing (DAS) and the entire visual (VIS) region of 400-700 nm in vines 90 DAS; (2) the normalized pheophytization index (NPQI) …
The results showed that: (1) the discriminative wavelength regions included the 900-940 nm range in the near-infrared (NIR) region in vines …
SpotLearn: Convolutional Neural Network for Detection of Fluorescence In Situ Hybridization (FISH) Signals in High-Throughput Imaging Approaches.
Gudla PR, Nakayama K, Pegoraro G, Misteli T. Gudla PR, et al. Cold Spring Harb Symp Quant Biol. 2017;82:57-70. doi: 10.1101/sqb.2017.82.033761. Epub 2017 Nov 28. Cold Spring Harb Symp Quant Biol. 2017. PMID: 29183987 Free PMC article.
DNA fluorescence in situ hybridization (FISH) is the technique of choice to map the position of genomic loci in three-dimensional (3D) space at the single allele level in the cell nucleus. High-throughput DNA FISH methods have recently been developed using complex l …
DNA fluorescence in situ hybridization (FISH) is the technique of choice to map the position of genomic loci in three-dimensional ( …
Quantitative analysis of metastatic breast cancer in mice using deep learning on cryo-image data.
Liu Y, Gargesha M, Qutaish M, Zhou Z, Qiao P, Lu ZR, Wilson DL. Liu Y, et al. Sci Rep. 2021 Sep 1;11(1):17527. doi: 10.1038/s41598-021-96838-y. Sci Rep. 2021. PMID: 34471169 Free PMC article.
Cryo-imaging sections and images a whole mouse and provides ~ 120-GBytes of microscopic 3D color anatomy and fluorescence images, making fully manual analysis of metastases an onerous task. ...Finally, 225, 148, 165, and 344 metastases were identified in the four ca …
Cryo-imaging sections and images a whole mouse and provides ~ 120-GBytes of microscopic 3D color anatomy and fluorescence imag …
Automated Neuron Tracing Using Content-Aware Adaptive Voxel Scooping on CNN Predicted Probability Map.
Huang Q, Cao T, Chen Y, Li A, Zeng S, Quan T. Huang Q, et al. Front Neuroanat. 2021 Aug 23;15:712842. doi: 10.3389/fnana.2021.712842. eCollection 2021. Front Neuroanat. 2021. PMID: 34497493 Free PMC article.
To address these issues, we propose a method for accurate neuron tracing using content-aware adaptive voxel scooping on a convolutional neural network (CNN) predicted probability map. First, a 3D residual CNN was applied as preprocessing to predict the object …
To address these issues, we propose a method for accurate neuron tracing using content-aware adaptive voxel scooping on a convolutional neur …
Auto-detection of cervical collagen and elastin in Mueller matrix polarimetry microscopic images using K-NN and semantic segmentation classification.
Roa C, Du Le VN, Mahendroo M, Saytashev I, Ramella-Roman JC. Roa C, et al. Biomed Opt Express. 2021 Mar 23;12(4):2236-2249. doi: 10.1364/BOE.420079. eCollection 2021 Apr 1. Biomed Opt Express. 2021. PMID: 33996226 Free PMC article.
We propose an approach for discriminating fibrillar collagen fibers from elastic fibers in the mouse cervix in Mueller matrix microscopy using convolutional neural networks (CNN) and K-nearest neighbor (K-NN) for classification. Second harmonic generation (SHG), two-photon …
We propose an approach for discriminating fibrillar collagen fibers from elastic fibers in the mouse cervix in Mueller matrix microscopy usi …