Showing 25 publications by Geer Teng
Multi-angle and full-Stokes polarization multispectral images using quarter-wave plate and tunable filter
Fan A, Xu T, Teng G, Wang X, Xu C et al. (2024), Scientific Data, 11(1)
BibTeX
@article{multiangleandfu-2024/12,
title={Multi-angle and full-Stokes polarization multispectral images using quarter-wave plate and tunable filter},
author={Fan A, Xu T, Teng G, Wang X, Xu C et al.},
journal={Scientific Data},
volume={11},
number={1401},
publisher={Nature Research},
year = "2024"
}
Accuracy Enhancement Of Glioma Boundary Tissue Identification By Polarization-Resolved LIBS Spectral Fusion
Wang Q & Yang H (2024), Atomic Spectroscopy, 45(02)
Modulate the laser phase to improve the ns-LIBS spectrum signal based on orbital angular momentum.
Bao M, Zhao Z, Wei K, Zheng Y, Lu B et al. (2024), Optics express, 32(4), 4998-5010
Full-Stokes polarization laser-induced breakdown spectroscopy detection of infiltrative glioma boundary tissue.
Teng G, Wang Q, Hao Q, Fan A, Yang H et al. (2023), Biomedical optics express, 14(7), 3469-3490
Comparison of whole blood and serum samples of breast cancer based on laser-induced breakdown spectroscopy with machine learning.
Idrees BS, Teng G, Israr A, Zaib H, Jamil Y et al. (2023), Biomedical optics express, 14(6), 2492-2509
BibTeX
@article{comparisonofwho-2023/6,
title={Comparison of whole blood and serum samples of breast cancer based on laser-induced breakdown spectroscopy with machine learning.},
author={Idrees BS, Teng G, Israr A, Zaib H, Jamil Y et al.},
journal={Biomedical optics express},
volume={14},
pages={2492-2509},
year = "2023"
}
Rapid Test for Adulteration of Fritillaria Thunbergii in Fritillaria Cirrhosa by Laser-Induced Breakdown Spectroscopy.
Wei K, Teng G, Wang Q, Xu X, Zhao Z et al. (2023), Foods (Basel, Switzerland), 12(8), 1710
BibTeX
@article{rapidtestforadu-2023/4,
title={Rapid Test for Adulteration of Fritillaria Thunbergii in Fritillaria Cirrhosa by Laser-Induced Breakdown Spectroscopy.},
author={Wei K, Teng G, Wang Q, Xu X, Zhao Z et al.},
journal={Foods (Basel, Switzerland)},
volume={12},
pages={1710},
year = "2023"
}
Rhythmic calcium ion activity related to glioma growth reveals the mechanism of ion transmission
Teng G (2023), Brain‐X, 1(1)
Compressive full-Stokes polarization and flexible hyperspectral imaging with efficient reconstruction
Fan A, Xu T, Li J, Teng G, Wang X et al. (2023), Optics and Lasers in Engineering, 160, 107256
BibTeX
@article{compressivefull-2023/1,
title={Compressive full-Stokes polarization and flexible hyperspectral imaging with efficient reconstruction},
author={Fan A, Xu T, Li J, Teng G, Wang X et al.},
journal={Optics and Lasers in Engineering},
volume={160},
pages={107256},
publisher={Elsevier},
year = "2023"
}
Self-adjusting inverse design method for nanophotonic devices.
Liu H, Wang Q, Xiang Z, Teng G, Zhao Y et al. (2022), Optics express, 30(21), 38832-38847
Polarimetry-inspired feature fusion spectroscopy (PIFFS) for ammonia sensing in water.
Fan A, Xu T, Teng G, Li J, Zhang Y et al. (2022), Optics express, 30(11), 18415-18433
In-vitro study on the identification of gastrointestinal stromal tumor tissues using laser-induced breakdown spectroscopy with chemometric methods.
Idrees BS, Wang Q, Khan MN, Teng G, Cui X et al. (2022), Biomedical optics express, 13(1), 26-38
BibTeX
@article{invitrostudyont-2022/1,
title={In-vitro study on the identification of gastrointestinal stromal tumor tissues using laser-induced breakdown spectroscopy with chemometric methods.},
author={Idrees BS, Wang Q, Khan MN, Teng G, Cui X et al.},
journal={Biomedical optics express},
volume={13},
pages={26-38},
year = "2022"
}
Acceleration of inverse design process on adaptive mesh.
Wang Q, Liu H, Cui X, Teng G, Zhao Y et al. (2021), Optics express, 29(16), 25064-25083
Predictive data clustering of laser-induced breakdown spectroscopy for brain tumor analysis.
Teng G, Wang Q, Cui X, Chen G, Wei K et al. (2021), Biomedical optics express, 12(7), 4438-4451
Primary study of identification of parathyroid gland based on laser-induced breakdown spectroscopy.
Wang Q, Xiangli W, Chen X, Zhang J, Teng G et al. (2021), Biomedical optics express, 12(4), 1999-2014
Feature‐level fusion of laser‐induced breakdown spectroscopy and Raman spectroscopy for improving support vector machine in clinical bacteria identification
Teng G, Wang Q, Cui X, Wei K, Xiangli W et al. (2021), Journal of Raman Spectroscopy, 52(4), 805-814
BibTeX
@article{featurelevelfus-2021/4,
title={Feature‐level fusion of laser‐induced breakdown spectroscopy and Raman spectroscopy for improving support vector machine in clinical bacteria identification},
author={Teng G, Wang Q, Cui X, Wei K, Xiangli W et al.},
journal={Journal of Raman Spectroscopy},
volume={52},
pages={805-814},
publisher={Wiley},
year = "2021"
}
A brief review of laser-induced breakdown spectroscopy for human and animal soft tissues: pathological diagnosis and physiological detection
Wang Q, Xiangli W, Teng G, Cui X & Wei K (2021), Applied Spectroscopy Reviews, 56(3), 221-241
BibTeX
@article{abriefreviewofl-2021/3,
title={A brief review of laser-induced breakdown spectroscopy for human and animal soft tissues: pathological diagnosis and physiological detection},
author={Wang Q, Xiangli W, Teng G, Cui X & Wei K},
journal={Applied Spectroscopy Reviews},
volume={56},
pages={221-241},
publisher={Taylor & Francis},
year = "2021"
}
Pathological identification of brain tumors based on the characteristics of molecular fragments generated by laser ablation combined with a spiking neural network.
Teng G, Wang Q, Yang H, Qi X, Zhang H et al. (2020), Biomedical optics express, 11(8), 4276-4289
BibTeX
@article{pathologicalide-2020/8,
title={Pathological identification of brain tumors based on the characteristics of molecular fragments generated by laser ablation combined with a spiking neural network.},
author={Teng G, Wang Q, Yang H, Qi X, Zhang H et al.},
journal={Biomedical optics express},
volume={11},
pages={4276-4289},
year = "2020"
}
Evaluation and improvement of model robustness for plastics samples classification by laser-induced breakdown spectroscopy
Wang Q, Cui X, Teng G, Zhao Y & Wei K (2020), Optics & Laser Technology, 125, 106035
BibTeX
@article{evaluationandim-2020/5,
title={Evaluation and improvement of model robustness for plastics samples classification by laser-induced breakdown spectroscopy},
author={Wang Q, Cui X, Teng G, Zhao Y & Wei K},
journal={Optics & Laser Technology},
volume={125},
pages={106035},
publisher={Elsevier},
year = "2020"
}
Discrimination of infiltrative glioma boundary based on laser-induced breakdown spectroscopy
Teng G, Wang Q, Zhang H, Xiangli W, Yang H et al. (2020), Spectrochimica Acta Part B Atomic Spectroscopy, 165, 105787
BibTeX
@article{discriminationo-2020/3,
title={Discrimination of infiltrative glioma boundary based on laser-induced breakdown spectroscopy},
author={Teng G, Wang Q, Zhang H, Xiangli W, Yang H et al.},
journal={Spectrochimica Acta Part B Atomic Spectroscopy},
volume={165},
pages={105787},
publisher={Elsevier},
year = "2020"
}
Discrimination of hazardous bacteria with combination laser-induced breakdown spectroscopy and statistical methods.
Zhao Y, Wang Q, Cui X, Teng G, Wei K et al. (2020), Applied optics, 59(5), 1329-1337
Identification and classification of explosives using semi-supervised learning and laser-induced breakdown spectroscopy.
Wang Q, Teng G, Li C, Zhao Y & Peng Z (2019), Journal of hazardous materials, 369, 423-429
BibTeX
@article{identificationa-2019/5,
title={Identification and classification of explosives using semi-supervised learning and laser-induced breakdown spectroscopy.},
author={Wang Q, Teng G, Li C, Zhao Y & Peng Z},
journal={Journal of hazardous materials},
volume={369},
pages={423-429},
year = "2019"
}
Laser-induced breakdown spectroscopy (LIBS) for classification of wood species integrated with artificial neural network (ANN)
Cui X, Wang Q, Zhao Y, Qiao X & Teng G (2019), Applied Physics B, 125(4), 56
BibTeX
@article{laserinducedbre-2019/4,
title={Laser-induced breakdown spectroscopy (LIBS) for classification of wood species integrated with artificial neural network (ANN)},
author={Cui X, Wang Q, Zhao Y, Qiao X & Teng G},
journal={Applied Physics B},
volume={125},
pages={56},
publisher={Springer Nature},
year = "2019"
}
Extending the spectral database of laser-induced breakdown spectroscopy with generative adversarial nets.
Teng GE, Wang QQ, Kong JL, Dong LQ, Cui XT et al. (2019), Optics express, 27(5), 6958-6969
Importance evaluation of spectral lines in Laser-induced breakdown spectroscopy for classification of pathogenic bacteria.
Wang Q, Teng G, Qiao X, Zhao Y, Kong J et al. (2018), Biomedical optics express, 9(11), 5837-5850
BibTeX
@article{importanceevalu-2018/11,
title={Importance evaluation of spectral lines in Laser-induced breakdown spectroscopy for classification of pathogenic bacteria.},
author={Wang Q, Teng G, Qiao X, Zhao Y, Kong J et al.},
journal={Biomedical optics express},
volume={9},
pages={5837-5850},
year = "2018"
}
Identification and Determination of the Bloodstains Dry Time in the Crime Scenes Using Laser-Induced Breakdown Spectroscopy
Wang Q, Teng G, Zhao Y, Cui X & Wei K (0), IEEE Photonics Journal, 11(3), 1-12
BibTeX
@article{identificationa-/,
title={Identification and Determination of the Bloodstains Dry Time in the Crime Scenes Using Laser-Induced Breakdown Spectroscopy},
author={Wang Q, Teng G, Zhao Y, Cui X & Wei K},
journal={IEEE Photonics Journal},
volume={11},
pages={1-12},
publisher={Institute of Electrical and Electronics Engineers (IEEE)}
}