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Synchrotron microCT imaging of soft tissue in juvenile zebrafish reveals retinotectal projections.

Proceedings of SPIE--the International Society for Optical Engineering

Xin X, Clark D, Ang KC, van Rossum DB, Copper J, Xiao X, La Riviere PJ, Cheng KC.
PMID: 32733117
Proc SPIE Int Soc Opt Eng. 2017 Feb;10060. doi: 10.1117/12.2267477. Epub 2017 Mar 03.

Biomedical research and clinical diagnosis would benefit greatly from full volume determinations of anatomical phenotype. Comprehensive tools for morphological phenotyping are central for the emerging field of phenomics, which requires high-throughput, systematic, accurate, and reproducible data collection from organisms...

Cite
Xin X, Clark D, Ang KC, et al. Synchrotron microCT imaging of soft tissue in juvenile zebrafish reveals retinotectal projections. Proc SPIE Int Soc Opt Eng. 2017;10060doi: 10.1117/12.2267477.
Xin, X., Clark, D., Ang, K. C., van Rossum, D. B., Copper, J., Xiao, X., La Riviere, P. J., & Cheng, K. C. (2017). Synchrotron microCT imaging of soft tissue in juvenile zebrafish reveals retinotectal projections. Proceedings of SPIE--the International Society for Optical Engineering, 10060. https://doi.org/10.1117/12.2267477
Xin, Xuying, et al. "Synchrotron microCT imaging of soft tissue in juvenile zebrafish reveals retinotectal projections." Proceedings of SPIE--the International Society for Optical Engineering vol. 10060 (2017). doi: https://doi.org/10.1117/12.2267477
Xin X, Clark D, Ang KC, van Rossum DB, Copper J, Xiao X, La Riviere PJ, Cheng KC. Synchrotron microCT imaging of soft tissue in juvenile zebrafish reveals retinotectal projections. Proc SPIE Int Soc Opt Eng. 2017 Feb;10060. doi: 10.1117/12.2267477. Epub 2017 Mar 03. PMID: 32733117; PMCID: PMC7392147.
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Selective synthetic augmentation with HistoGAN for improved histopathology image classification.

Medical image analysis

Xue Y, Ye J, Zhou Q, Long LR, Antani S, Xue Z, Cornwell C, Zaino R, Cheng KC, Huang X.
PMID: 33080509
Med Image Anal. 2021 Jan;67:101816. doi: 10.1016/j.media.2020.101816. Epub 2020 Oct 01.

Histopathological analysis is the present gold standard for precancerous lesion diagnosis. The goal of automated histopathological classification from digital images requires supervised training, which requires a large number of expert annotations that can be expensive and time-consuming to collect....

Cite
Xue Y, Ye J, Zhou Q, et al. Selective synthetic augmentation with HistoGAN for improved histopathology image classification. Med Image Anal. 2020;67:101816doi: 10.1016/j.media.2020.101816.
Xue, Y., Ye, J., Zhou, Q., Long, L. R., Antani, S., Xue, Z., Cornwell, C., Zaino, R., Cheng, K. C., & Huang, X. (2021). Selective synthetic augmentation with HistoGAN for improved histopathology image classification. Medical image analysis, 67101816. https://doi.org/10.1016/j.media.2020.101816
Xue, Yuan, et al. "Selective synthetic augmentation with HistoGAN for improved histopathology image classification." Medical image analysis vol. 67 (2021): 101816. doi: https://doi.org/10.1016/j.media.2020.101816
Xue Y, Ye J, Zhou Q, Long LR, Antani S, Xue Z, Cornwell C, Zaino R, Cheng KC, Huang X. Selective synthetic augmentation with HistoGAN for improved histopathology image classification. Med Image Anal. 2021 Jan;67:101816. doi: 10.1016/j.media.2020.101816. Epub 2020 Oct 01. PMID: 33080509; PMCID: PMC8647936.
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Selective synthetic augmentation with HistoGAN for improved histopathology image classification.

Medical image analysis

Xue Y, Ye J, Zhou Q, Long LR, Antani S, Xue Z, Cornwell C, Zaino R, Cheng KC, Huang X.
PMID: 33080509
Med Image Anal. 2021 Jan;67:101816. doi: 10.1016/j.media.2020.101816. Epub 2020 Oct 01.

Histopathological analysis is the present gold standard for precancerous lesion diagnosis. The goal of automated histopathological classification from digital images requires supervised training, which requires a large number of expert annotations that can be expensive and time-consuming to collect....

Cite
Xue Y, Ye J, Zhou Q, et al. Selective synthetic augmentation with HistoGAN for improved histopathology image classification. Med Image Anal. 2020;67:101816doi: 10.1016/j.media.2020.101816.
Xue, Y., Ye, J., Zhou, Q., Long, L. R., Antani, S., Xue, Z., Cornwell, C., Zaino, R., Cheng, K. C., & Huang, X. (2021). Selective synthetic augmentation with HistoGAN for improved histopathology image classification. Medical image analysis, 67101816. https://doi.org/10.1016/j.media.2020.101816
Xue, Yuan, et al. "Selective synthetic augmentation with HistoGAN for improved histopathology image classification." Medical image analysis vol. 67 (2021): 101816. doi: https://doi.org/10.1016/j.media.2020.101816
Xue Y, Ye J, Zhou Q, Long LR, Antani S, Xue Z, Cornwell C, Zaino R, Cheng KC, Huang X. Selective synthetic augmentation with HistoGAN for improved histopathology image classification. Med Image Anal. 2021 Jan;67:101816. doi: 10.1016/j.media.2020.101816. Epub 2020 Oct 01. PMID: 33080509; PMCID: PMC8647936.
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Automated Detection of Retinal Cell Nuclei in 3D Micro-CT Images of Zebrafish using Support Vector Machine Classification.

Proceedings of SPIE--the International Society for Optical Engineering

Ding Y, Tavolara T, Cheng K.
PMID: 34548737
Proc SPIE Int Soc Opt Eng. 2016 Feb-Mar;9791. doi: 10.1117/12.2216940. Epub 2016 Mar 23.

Our group is developing a method to examine biological specimens in cellular detail using synchrotron microCT. The method can acquire 3D images of tissue at micrometer-scale resolutions, allowing for individual cell types to be visualized in the context of...

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Ding Y, Tavolara T, Cheng K. Automated Detection of Retinal Cell Nuclei in 3D Micro-CT Images of Zebrafish using Support Vector Machine Classification. Proc SPIE Int Soc Opt Eng. 2016;9791doi: 10.1117/12.2216940.
Ding, Y., Tavolara, T., & Cheng, K. (2016). Automated Detection of Retinal Cell Nuclei in 3D Micro-CT Images of Zebrafish using Support Vector Machine Classification. Proceedings of SPIE--the International Society for Optical Engineering, 9791. https://doi.org/10.1117/12.2216940
Ding, Yifu, et al. "Automated Detection of Retinal Cell Nuclei in 3D Micro-CT Images of Zebrafish using Support Vector Machine Classification." Proceedings of SPIE--the International Society for Optical Engineering vol. 9791 (2016). doi: https://doi.org/10.1117/12.2216940
Ding Y, Tavolara T, Cheng K. Automated Detection of Retinal Cell Nuclei in 3D Micro-CT Images of Zebrafish using Support Vector Machine Classification. Proc SPIE Int Soc Opt Eng. 2016 Feb-Mar;9791. doi: 10.1117/12.2216940. Epub 2016 Mar 23. PMID: 34548737; PMCID: PMC8452385.
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Showing 1 to 4 of 4 entries