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Haohua Tu

Showing results (71-80 of 81) with videos related to

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Laser & Photonics Reviews|January 9, 2025
Pixelation with concentration-encoded effective photons for quantitative molecular optical sectioning microscopyGeng Wang, Rishyashring R Iyer, Janet E Sorrells, et al.
Nature Communications|July 22, 2022
Intratumor graph neural network recovers hidden prognostic value of multi-biomarker spatial heterogeneityLida Qiu, Deyong Kang, Chuan Wang, et al.
Scientific Reports|March 3, 2022
Label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive opticsRishyashring R Iyer, Janet E Sorrells, Lingxiao Yang, et al.
Nature Photonics|September 27, 2016
Stain-free histopathology by programmable supercontinuum pulsesHaohua Tu, Yuan Liu, Dmitry Turchinovich, et al.
Nature Communications|September 5, 2023
A deep learning-based stripe self-correction method for stitched microscopic imagesShu Wang, Xiaoxiang Liu, Yueying Li, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 17, 2019
Label-free visualization and characterization of extracellular vesicles in breast cancerSixian You, Ronit Barkalifa, Eric J Chaney, et al.
Journal of Biophotonics|March 25, 2023
Combining the guidelines and multiphoton imaging methods to improve the prognostic value of tumor-infiltrating lymphocytes in breast cancerJiajia He, Deyong Kang, Meifang Xu, et al.
Neurophotonics|November 9, 2020
Simultaneous two-photon activation and imaging of neural activity based on spectral-temporal modulation of supercontinuum lightYuan-Zhi Liu, Carlos Renteria, Connor D Courtney, et al.
Science Advances|December 27, 2018
Intraoperative visualization of the tumor microenvironment and quantification of extracellular vesicles by label-free nonlinear imagingYi Sun, Sixian You, Haohua Tu, et al.
Theranostics|February 4, 2021
Large-scale tumor-associated collagen signatures identify high-risk breast cancer patientsGangqin Xi, Wenhui Guo, Deyong Kang, et al.
Pageof 9

Showing results (71-80 of 81) with videos related to

Sort By:
Pageof 9
Laser & Photonics Reviews|January 9, 2025
Pixelation with concentration-encoded effective photons for quantitative molecular optical sectioning microscopyGeng Wang, Rishyashring R Iyer, Janet E Sorrells, et al.
Nature Communications|July 22, 2022
Intratumor graph neural network recovers hidden prognostic value of multi-biomarker spatial heterogeneityLida Qiu, Deyong Kang, Chuan Wang, et al.
Scientific Reports|March 3, 2022
Label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive opticsRishyashring R Iyer, Janet E Sorrells, Lingxiao Yang, et al.
Nature Photonics|September 27, 2016
Stain-free histopathology by programmable supercontinuum pulsesHaohua Tu, Yuan Liu, Dmitry Turchinovich, et al.
Nature Communications|September 5, 2023
A deep learning-based stripe self-correction method for stitched microscopic imagesShu Wang, Xiaoxiang Liu, Yueying Li, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 17, 2019
Label-free visualization and characterization of extracellular vesicles in breast cancerSixian You, Ronit Barkalifa, Eric J Chaney, et al.
Journal of Biophotonics|March 25, 2023
Combining the guidelines and multiphoton imaging methods to improve the prognostic value of tumor-infiltrating lymphocytes in breast cancerJiajia He, Deyong Kang, Meifang Xu, et al.
Neurophotonics|November 9, 2020
Simultaneous two-photon activation and imaging of neural activity based on spectral-temporal modulation of supercontinuum lightYuan-Zhi Liu, Carlos Renteria, Connor D Courtney, et al.
Science Advances|December 27, 2018
Intraoperative visualization of the tumor microenvironment and quantification of extracellular vesicles by label-free nonlinear imagingYi Sun, Sixian You, Haohua Tu, et al.
Theranostics|February 4, 2021
Large-scale tumor-associated collagen signatures identify high-risk breast cancer patientsGangqin Xi, Wenhui Guo, Deyong Kang, et al.
Pageof 9