Dr. Hanh N.D. Le Profile

Dr. Hanh N.D. Le

Imaging Systems Engineer

SPIE Involvement:

Author

Publications (15)

SPIE Journal Paper | 7 May 2024 Open Access

Open Access

Hyperspectral dark-field microscopy of human breast lumpectomy samples for tumor margin detection in breast-conserving surgery

Jeeseong Hwang, Philip Cheney, Stephen Kanick, Hanh N. Le, David McClatchy, Helen Zhang, Nian Liu, Zhan-Qian John Lu, Tae Joon Cho, Kimberly Briggman, David Allen, Wendy Wells, Brian Pogue

JBO, Vol. 29, Issue 09, 093503, (May 2024) https://doi.org/10.1117/12.10.1117/1.JBO.29.9.093503

KEYWORDS: Tissues, Biological samples, Image segmentation, Tumors, Breast, Microscopy, Printed circuit board testing, Blood, Library classification systems, Surgery

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SignificanceHyperspectral dark-field microscopy (HSDFM) and data cube analysis algorithms demonstrate successful detection and classification of various tissue types, including carcinoma regions in human post-lumpectomy breast tissues excised during breast-conserving surgeries.AimWe expand the application of HSDFM to the classification of tissue types and tumor subtypes in pre-histopathology human breast lumpectomy samples.ApproachBreast tissues excised during breast-conserving surgeries were imaged by the HSDFM and analyzed. The performance of the HSDFM is evaluated by comparing the backscattering intensity spectra of polystyrene microbead solutions with the Monte Carlo simulation of the experimental data. For classification algorithms, two analysis approaches, a supervised technique based on the spectral angle mapper (SAM) algorithm and an unsupervised technique based on the K-means algorithm are applied to classify various tissue types including carcinoma subtypes. In the supervised technique, the SAM algorithm with manually extracted endmembers guided by H&E annotations is used as reference spectra, allowing for segmentation maps with classified tissue types including carcinoma subtypes.ResultsThe manually extracted endmembers of known tissue types and their corresponding threshold spectral correlation angles for classification make a good reference library that validates endmembers computed by the unsupervised K-means algorithm. The unsupervised K-means algorithm, with no a priori information, produces abundance maps with dominant endmembers of various tissue types, including carcinoma subtypes of invasive ductal carcinoma and invasive mucinous carcinoma. The two carcinomas’ unique endmembers produced by the two methods agree with each other within <2% residual error margin.ConclusionsOur report demonstrates a robust procedure for the validation of an unsupervised algorithm with the essential set of parameters based on the ground truth, histopathological information. We have demonstrated that a trained library of the histopathology-guided endmembers and associated threshold spectral correlation angles computed against well-defined reference data cubes serve such parameters. Two classification algorithms, supervised and unsupervised algorithms, are employed to identify regions with carcinoma subtypes of invasive ductal carcinoma and invasive mucinous carcinoma present in the tissues. The two carcinomas’ unique endmembers used by the two methods agree to <2% residual error margin. This library of high quality and collected under an environment with no ambient background may be instrumental to develop or validate more advanced unsupervised data cube analysis algorithms, such as effective neural networks for efficient subtype classification.

Proceedings Article | 13 March 2024 Poster

Poster

Hyperspectral dark-field microscopy of human breast lumpectomy samples for tumor margin detection

Helen Zhang, Philip Cheney, Stephan Kanick, Hanh Le, David McClatchy, Nian Liu, John Lu, Tae Joon Cho, Kimberly Briggman, David Allen, Wendy Wells, Brian Pogue, Jeeseong Hwang

Proceedings Volume PC12833, PC128330M (2024) https://doi.org/10.1117/12.3023601

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Proceedings Article | 9 March 2020 Presentation

Presentation

Tumor margin analysis in resected breast tissue using hyperspectral dark-field microscopy (Conference Presentation)

Hanh Le, David McClatchy, David Allen, Kimberly Briggman, Brian Pogue, Wendy Wells, Jeeseong Hwang

Proceedings Volume 11231, 112310F (2020) https://doi.org/10.1117/12.2561804

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SPIE Journal Paper | 23 May 2018 Open Access

Open Access

Demonstration of a laparoscopic structured-illumination three-dimensional imaging system for guiding reconstructive bowel anastomosis

Hanh N. Le, Hieu Nguyen, Zhaoyang Wang, Justin Opfermann, Simon Leonard, Axel Krieger, Jin Kang

JBO, Vol. 23, Issue 05, 056009, (May 2018) https://doi.org/10.1117/12.10.1117/1.JBO.23.5.056009

KEYWORDS: Tissues, Imaging systems, Cameras, Intestine, 3D acquisition, 3D image processing, Video, Laparoscopy, Endoscopes, Clouds

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Proceedings Article | 5 April 2018 Presentation

Presentation

An endoscopic 3D structured illumination imaging system for robotic anastomosis surgery (Conference Presentation)

Hanh N. Le, Hieu Nguyen, Zhaoyang Wang, Justin Opfermann, Simon Leonard, Axel Krieger, Jin Kang

Proceedings Volume 10484, 104840C (2018) https://doi.org/10.1117/12.2290564

KEYWORDS: Surgery, Endoscopy, Imaging systems, Robotics, 3D image processing, Tissues, Blood, Laparoscopy, Stereoscopic cameras, System integration

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Proceedings Article | 20 July 2017 Paper

Paper

Initial proof-of-concept of photoacoustic cell stimulation approach: preliminary in vitro study

Jeeun Kang, Hanh Le, Haichong Zhang, Jin Kang, Maged Harraz, Emad Boctor

Proceedings Volume 10052, 100520U (2017) https://doi.org/10.1117/12.2253296

KEYWORDS: Photoacoustic spectroscopy, Neurons, In vitro testing, Pulsed laser operation, Luminescence, Brain, Potassium, Particles, Optogenetics, Optical manipulation

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Proceedings Article | 19 April 2017 Presentation

Presentation

3D endoscopic imaging using structured illumination technique (Conference Presentation)

Hanh N. Le, Hieu Nguyen, Zhaoyang Wang, Jin Kang

Proceedings Volume 10054, 1005416 (2017) https://doi.org/10.1117/12.2250242

KEYWORDS: 3D image processing, Endoscopes, Endoscopy, Stereoscopy, 3D acquisition, 3D metrology, Imaging systems, Calibration, Surgery, Visualization

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SPIE Journal Paper | 10 April 2017 Open Access

Open Access

Listening to membrane potential: photoacoustic voltage-sensitive dye recording

Haichong Zhang, Ping Yan, Jeeun Kang, Diane Abou, Hanh N. Le, Abhinav Jha, Daniel L. Thorek, Jin Kang, Arman Rahmim, Dean Wong, Emad Boctor, Leslie Loew

JBO, Vol. 22, Issue 04, 045006, (April 2017) https://doi.org/10.1117/12.10.1117/1.JBO.22.4.045006

KEYWORDS: Luminescence, Absorbance, Photoacoustic spectroscopy, Voltage sensitive dyes, Brain, Ultrasonography, Neuroimaging, Quantum efficiency, Chromophores, Polarization

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Proceedings Article | 22 March 2017 Presentation + Paper

Presentation + Paper

Recording membrane potential changes through photoacoustic voltage sensitive dye

Haichong Zhang, Jeeun Kang, Ping Yan, Diane Abou, Hanh N. Le, Daniel L. Thorek, Jin Kang, Albert Gjedde, Arman Rahmim, Dean Wong, Leslie Loew, Emad Boctor

Proceedings Volume 10064, 1006407 (2017) https://doi.org/10.1117/12.2252442

KEYWORDS: Photoacoustic spectroscopy, Voltage sensitive dyes, Photoacoustic imaging, Deep tissue imaging, Near infrared, Ultrasonography, Brain, Absorbance, Quantum efficiency, Neuroimaging, Chromophores

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Proceedings Article | 17 February 2017 Paper

Paper

A three-step reconstruction method for fluorescence molecular tomography based on compressive sensing

Yansong Zhu, Abhinav Jha, Jakob Dreyer, Hanh N. Le, Jin Kang, Per Roland, Dean Wong, Arman Rahmim

Proceedings Volume 10059, 1005911 (2017) https://doi.org/10.1117/12.2252664

KEYWORDS: Tomography, Reconstruction algorithms, Fluorescence tomography, Expectation maximization algorithms, Compressed sensing, Brain, Scattering, In vivo imaging, Data acquisition, Sensors

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Proceedings Article | 8 February 2017 Presentation + Paper

Presentation + Paper

Through-skull vasculature assessment using fluorescence brain imaging on murine models at around 800 nm

Hanh N. Le, Yung-Tian Gau, Arman Rahmim, Dean Wong, Dwight Bergles, Jin Kang

Proceedings Volume 10051, 100510M (2017) https://doi.org/10.1117/12.2250240

KEYWORDS: Luminescence, Brain imaging, Spatial resolution, Scattering, Signal to noise ratio, Tissues, Skull, Imaging systems, CMOS sensors, Bone, Brain, Cameras, Scattering media

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Proceedings Article | 27 April 2016 Presentation

Presentation

In vivo perfusion assessment of an anastomosis surgery on porcine intestinal model (Conference Presentation)

Hanh N. Le, Justin Opferman, Ryan Decker, Gyeong Cheon, Peter C. Kim, Jin Kang, Axel Krieger

Proceedings Volume 9711, 971112 (2016) https://doi.org/10.1117/12.2211138

KEYWORDS: Tissues, Surgery, In vivo imaging, Multispectral imaging, Transplantation, Ischemia, Blood, Diffuse reflectance spectroscopy, Image processing, Oxygen

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SPIE Journal Paper | 6 October 2015 Open Access

Open Access

Multispectral tissue characterization for intestinal anastomosis optimization

Jaepyeong Cha, Azad Shademan, Hanh N. Le, Ryan Decker, Peter C. Kim, Jin Kang, Axel Krieger

JBO, Vol. 20, Issue 10, 106001, (October 2015) https://doi.org/10.1117/12.10.1117/1.JBO.20.10.106001

KEYWORDS: Tissues, Blood vessels, Multispectral imaging, Image segmentation, Tissue optics, Surgery, Image analysis, Visualization, Image visualization, Natural surfaces

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Proceedings Article | 11 March 2015 Paper

Paper

Photoacoustic spectroscopy of gaseous biomarker in simulated breath

Hanh Le, Paweena U-Thainual, Do-Hyun Kim

Proceedings Volume 9317, 931704 (2015) https://doi.org/10.1117/12.2082703

KEYWORDS: Photoacoustic spectroscopy, Carbon dioxide, Principal component analysis, Diamond, Sensors, Oxygen, Infrared sensors, FT-IR spectroscopy, Scattering, Infrared spectroscopy

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Proceedings Article | 20 February 2014 Paper

Paper

Monitoring biofilm attachment on medical devices surfaces using hyperspectral imaging

Hanh Le, Victoria Hitchins, Ilko Ilev, Do-Hyun Kim

Proceedings Volume 8938, 893809 (2014) https://doi.org/10.1117/12.2047867

KEYWORDS: Glasses, Hyperspectral imaging, Luminescence, Medical devices, Reflectivity, Bacteria, Signal detection, Proteins, Lamps, Spectrographs

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Showing 5 of 15 publications

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