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Search Publications by: Maritoni Litorja (Fed)

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Displaying 26 - 50 of 99

Spectral Light source Distribution variations to enhance discrimination of the common bile duct from surroundings in reflectance hyperspectral imaging

March 8, 2013
Author(s)
Maritoni A. Litorja, Mira Fein, Eleanor Wehner, Karel Zuzak, Edward Livingston
The classification of anatomical features using hyperspectral imaging has been a common goal in biomedical hyperspectral imaging. Identification and location of the common bile duct is critical in cholecystectomies, one of the most common surgical

Developing digital tissue phantoms for hyperspectral imaging of ischemic wounds

May 18, 2012
Author(s)
David W. Allen, Jeeseong Hwang, Maritoni A. Litorja, Joseph P. Rice
Biomedical optical imaging has the potential to achieve high spatial resolution and high functional sensitivity for non-invasive assessment of ischemic wounds. However, clinical acceptance of many optical imaging devices is hampered by poor reproducibility

Algorithm Validation Using Multicolor Phantoms

May 9, 2012
Author(s)
Daniel V. Samarov, Matthew L. Clarke, Ji Y. Lee, David W. Allen, Maritoni A. Litorja, Jeeseong Hwang
We present a framework for hyperspectral image (HSI) analysis validation, specifically abundance fraction estimation based on HSI measurements of water soluble dye mixtures printed on microarray chips. In our work we focus on the performance of two

Designing Microarrays Phantoms for Hyperspectral Imaging Validation

May 9, 2012
Author(s)
Matthew L. Clarke, Ji Y. Lee, Daniel V. Samarov, David W. Allen, Maritoni A. Litorja, Ralph Nossal, Jeeseong Hwang
The simple design of custom-tailored microarrays for the characterization of hyperspectral imaging systems and analysis methods for biologically relevant samples. Individual and mixtures of dyes were printed on microscope slides and imaged by a

Hyperspectral Image Projector Applications

February 15, 2012
Author(s)
Joseph P. Rice, Steven W. Brown, David W. Allen, Howard W. Yoon, Maritoni A. Litorja, Jeeseong Hwang
For the past several years NIST has been developing, along with several collaborators, a Hyperspectral Image Projector (HIP). This scene projector produces high-resolution programmable spectra and projects them into dynamic two-dimensional images. The

Validating the LASSO Algorithm by Unmixing Spectral Signatures in Multicolor Phantoms

February 1, 2012
Author(s)
Daniel V. Samarov, Matthew L. Clarke, Ji Y. Lee, David W. Allen, Maritoni A. Litorja, Jeeseong Hwang
As hyperspectral imaging (HSI) sees increased implementation into the biological and medical fields it becomes increasingly important that the algorithms being used to analyze the corresponding output be validated. While certainly important under any

Hyperspectral Imaging and Analysis of Single Erythrocytes

August 12, 2011
Author(s)
Ji Y. Lee, Matthew L. Clarke, Fuyuki Tokumasu, John F. Lesoine, David W. Allen, Robert C. Chang, Maritoni A. Litorja, Jeeseong Hwang
We report a hyperspectral imaging and analysis technique to resolve unique physico-chemical characteristics of subcellular substances in single erythrocytes. We constructed a microscope system installed with a spectral light engine capable of controlling

Characterization of Hyperspectral Imaging and Analysis via Microarray Printing of Dyes

February 22, 2011
Author(s)
Matthew L. Clarke, Maritoni A. Litorja, David W. Allen, Daniel V. Samarov, Jeeseong Hwang
The application of hyperspectral imaging requires rigorous characterization of the spatial and spectral imaging domains of the system. We present a microarray printing methodology for the testing of absorption or reflectance microscopy measurements. This

Low-Cost, High-Throughput, Automated Counting of Bacterial Colonies

January 5, 2010
Author(s)
Matthew L. Clarke, Robert L. Burton, A. N. Hill, Maritoni A. Litorja, Moon H. Nahm, Jeeseong Hwang
Research involving bacterial pathogens often requires enumeration of bacteria colonies. Here we present a low-cost, high-throughput colony counting system consisting of colony counting software and a consumer-grade digital camera or document scanner. We