Ms. Sandra P. Gordon Profile

Sandra P. Gordon

Grad Student at Univ of Arkansas

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 24 April 2017 Presentation

Optical metabolic imaging of colorectal adenocarcinoma derived organoids: assessing cellular-level resistance to therapy (Conference Presentation)

Haley James, Sandra Prieto, Gage Greening, Timothy Muldoon

Proceedings Volume 10068, 100680K (2017) https://doi.org/10.1117/12.2252578

KEYWORDS: Resistance, Tumors, Optical imaging, In vitro testing, Cancer, Cell death, Rectum, CRTs, Luminescence, Vehicle control

Read Abstract +

SPIE Journal Paper | 3 June 2016 Open Access

Quantitative analysis of ex vivo colorectal epithelium using an automated feature extraction algorithm for microendoscopy image data

Sandra Prieto, Keith Lai, Jonathan Laryea, Jason Mizell, Timothy Muldoon

JMI, Vol. 3, Issue 02, 024502, (June 2016) https://doi.org/10.1117/12.10.1117/1.JMI.3.2.024502

KEYWORDS: Image segmentation, Image quality, Tissues, Image enhancement, Image processing algorithms and systems, Quantitative analysis, Image analysis, Feature extraction, Image contrast enhancement, Binary data

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 14 March 2016 Presentation + Paper

Quantitative structural markers of colorectal dysplasia in a cross sectional study of ex vivo murine tissue using label-free multiphoton microscopy

Sandra Prieto, Gage Greening, Keith Lai, Timothy Muldoon

Proceedings Volume 9712, 97121P (2016) https://doi.org/10.1117/12.2213069

KEYWORDS: Multiphoton microscopy, Collagen, Tissues, Second-harmonic generation, Harmonic generation, Mouse models, Image analysis, Colon, Neodymium, 3D acquisition, Optical filters

Read Abstract +

Proceedings Article | 9 April 2015 Paper

Qualitative and quantitative comparison of colonic microendoscopy image features to histopathology

Sandra Prieto, Amy Powless, Keith Lai, Jonathan Laryea, Jason Mizell, Timothy Muldoon

Proceedings Volume 9328, 93280B (2015) https://doi.org/10.1117/12.2079816

KEYWORDS: Tissues, Tumors, Colorectal cancer, Medical imaging, Surgery, Imaging systems, Pathology, Cancer, Colon, Ions

Read Abstract +

Colorectal cancer is the second leading cause of cancer deaths in the United States, affecting more than 130,000 Americans every year1. Determining tumor margins prior to surgical resection is essential to providing optimal treatment and reducing recurrence rates. Colorectal cancer recurrence can occur in up to 20% of cases, commonly within three years after curative treatment. Typically, when colorectal cancers are resected, a margin of normal tissue on both sides of the tumor is required. The minimum margin required for colon cancer is 5 cm and for the lower rectum 2 cm. However, usually more normal tissue is taken on both sides of the tumor because the blood supply to the entire segment is removed with the surgery and therefore the entire segment must be removed. Anastomotic recurrences may result from inadequate margins. Pathologists look at the margins to ensure that there is no residual tumor and this is usually documented in the pathology report. We have developed a portable, point-of-care fiber bundle microendoscopy imaging system for detection of abnormalities in colonic epithelial microstructure. The system comprises a laptop, a modified fiber bundle image guide with a 1mm active area diameter and custom LabVIEW interface, and is approved for imaging surgically resected colon tissue at the University of Arkansas for Medical Sciences. The microendoscopy probe provides high-resolution images of superficial epithelial histology in real-time to assist surgical guidance and to localize occult regions of dysplasia which may not be visible. Microendoscopy images of freshly resected human colonic epithelium were acquired using the microendoscopy device and subsequently mosaicked using custom post-processing software. Architectural changes in the glands were mapped to histopathology H&E slides taken from the precise location of the microendoscopy images. Qualitatively, glandular distortion and placement of image guide was used to map normal and dysplastic areas of the colonic tumor and surrounding region from microendoscopy images to H&E slides. Quantitative metrics for correlating images were also explored and were obtained by analyzing glandular diameter and spatial distribution as well as image texture.

Proceedings Article | 9 March 2015 Paper

Design and validation of a diffuse reflectance and spectroscopic microendoscope with poly(dimethylsiloxane)-based phantoms

Gage Greening, Amy Powless, Joshua Hutcheson, Sandra Prieto, Aneeka Majid, Timothy Muldoon

Proceedings Volume 9332, 93320R (2015) https://doi.org/10.1117/12.2076300

KEYWORDS: Diffuse reflectance spectroscopy, Reflectance spectroscopy, Fiber optics, Tissues, Scattering, Luminescence, Tissue optics, Multimode fibers, Spectroscopy, Titanium dioxide

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years