Dr. Douglas J. Hartman Profile

Dr. Douglas J. Hartman

Associate Professor

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Author

Publications (8)

Proceedings Article | 16 March 2020 Paper

Hotspot detection in pancreatic neuroendocrine images using local depth

Muhammad Khalid Khan Niazi, Katherine Moore, Kenneth Berenhaut, Douglas Hartman, Liron Pantanowitz, Metin Gurcan

Proceedings Volume 11320, 1132008 (2020) https://doi.org/10.1117/12.2550980

KEYWORDS: Tumors, Visualization, Image segmentation, Medicine, Pathology, Cancer, Software development, Tissues, Biopsy, Deconvolution

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Proceedings Article | 18 March 2019 Paper

Generalization of tumor identification algorithms

Muhammad Khalid Khan Niazi, Thomas Tavolara, Caglar Senaras, Gary Tozbikian, Douglas Hartman, Vidya Arole, Liron Pantanowitz, Metin Gurcan

Proceedings Volume 10956, 109560Z (2019) https://doi.org/10.1117/12.2512911

KEYWORDS: Tumors, Breast cancer, Breast, Tissues, Tumor growth modeling, Image segmentation, Image analysis, Cancer, Biopsy, Pathology

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Proceedings Article | 24 April 2017 Presentation

Improved cancer risk stratification and diagnosis via quantitative phase microscopy (Conference Presentation)

Yang Liu, Shikhar Uttam, Hoa Pham, Douglas Hartman

Proceedings Volume 10074, 1007416 (2017) https://doi.org/10.1117/12.2252276

KEYWORDS: Cell biology, Animal model studies, Cancer, Microscopy, Tissues, Pathology, Microscopes, Gold, Phase imaging, Diagnostics

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Proceedings Article | 23 March 2016 Paper

Hotspot detection in pancreatic neuroendocrine tumors: density approximation by α-shape maps

M. Niazi, Douglas Hartman, Liron Pantanowitz, Metin Gurcan

Proceedings Volume 9791, 97910B (2016) https://doi.org/10.1117/12.2217687

KEYWORDS: Digestive system, Pathology, Image segmentation, Image classification, Shape analysis, Tumors, Tissues, Image filtering, Cancer, Binary data, Visualization

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Proceedings Article | 8 March 2016 Presentation + Paper

Depth-resolved nanoscale nuclear architecture mapping for early prediction of cancer progression

Shikhar Uttam, Hoa Pham, Justin LaFace, Douglas Hartman, Yang Liu

Proceedings Volume 9697, 969728 (2016) https://doi.org/10.1117/12.2214688

KEYWORDS: Cancer, Tissue optics, Refractive index, Tissues, Absorbance, Image segmentation, Mouse models, Microscopes, Interfaces, Phase contrast

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SPIE Journal Paper | 4 June 2012 Open Access

Investigation of nuclear nano-morphology marker as a biomarker for cancer risk assessment using a mouse model

Rajan Bista, Shikhar Uttam, Douglas Hartman, Wei Qiu, Jian Yu, Lin Zhang, Randall Brand, Yang Liu

JBO, Vol. 17, Issue 06, 066014, (June 2012) https://doi.org/10.1117/12.10.1117/1.JBO.17.6.066014

KEYWORDS: Cancer, Tumors, Intestine, Mouse models, Statistical analysis, Oncology, Animal model studies, Microscopy, Tissues, Medicine

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The development of accurate and clinically applicable tools to assess cancer risk is essential to define candidates to undergo screening for early-stage cancers at a curable stage or provide a novel method to monitor chemoprevention treatments. With the use of our recently developed optical technology—spatial-domain low-coherence quantitative phase microscopy (SL-QPM), we have derived a novel optical biomarker characterized by structure-derived optical path length (OPL) properties from the cell nucleus on the standard histology and cytology specimens, which quantifies the nano-structural alterations within the cell nucleus at the nanoscale sensitivity, referred to as nano-morphology marker. The aim of this study is to evaluate the feasibility of the nuclear nano-morphology marker from histologically normal cells, extracted directly from the standard histology specimens, to detect early-stage carcinogenesis, assess cancer risk, and monitor the effect of chemopreventive treatment. We used a well-established mouse model of spontaneous carcinogenesis—ApcMin mice, which develop multiple intestinal adenomas (Min) due to a germline mutation in the adenomatous polyposis coli (Apc) gene. We found that the nuclear nano-morphology marker quantified by OPL detects the development of carcinogenesis from histologically normal intestinal epithelial cells, even at an early pre-adenomatous stage (six weeks). It also exhibits a good temporal correlation with the small intestine that parallels the development of carcinogenesis and cancer risk. To further assess its ability to monitor the efficacy of chemopreventive agents, we used an established chemopreventive agent, sulindac. The nuclear nano-morphology marker is reversed toward normal after a prolonged treatment. Therefore, our proof-of-concept study establishes the feasibility of the SL-QPM derived nuclear nano-morphology marker OPL as a promising, simple and clinically applicable biomarker for cancer risk assessment and evaluation of chemopreventive treatment.

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SPIE Journal Paper | 1 November 2011 Open Access

Correction of stain variations in nuclear refractive index of clinical histology specimens

Shikhar Uttam, Rajan Bista, Yang Liu, Douglas Hartman, Randall Brand

JBO, Vol. 16, Issue 11, 116013, (November 2011) https://doi.org/10.1117/12.10.1117/1.3650306

KEYWORDS: Refractive index, Tissues, Absorption, Pathology, Cancer, Animal model studies, Breast, Statistical modeling, Microscopy, Intestine

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SPIE Journal Paper | 1 July 2011 Open Access

Quantification of nanoscale nuclear refractive index changes during the cell cycle

Rajan Bista, Shikhar Uttam, Pin Wang, Kevin Staton, Randall Brand, Yang Liu, Serah Choi, Christopher Bakkenist, Douglas Hartman

JBO, Vol. 16, Issue 07, 070503, (July 2011) https://doi.org/10.1117/12.10.1117/1.3597723

KEYWORDS: Refractive index, Cancer, Microscopy, Flow cytometry, Medicine, Confocal microscopy, Diagnostics, Luminescence, Statistical analysis, Scattering

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