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Full-Text Articles in Medicine and Health Sciences

Quantifying Glial-Glial Interactions In Drosophila Using Automated Image Analysis, Gabriela Salazar Lopez Jan 2023

Quantifying Glial-Glial Interactions In Drosophila Using Automated Image Analysis, Gabriela Salazar Lopez

Graduate College Dissertations and Theses

Imaging is an immensely powerful tool in biomedical research. Technological advances in the last half century have led to the development of new tools for image analysis, with major strides being made in the last 20 years especially with machine and deep learning. However, researchers still often hit a bottleneck during the image analysis phase of their projects that often leads to delays and sometimes even limits the scope of their studies. In this thesis I demonstrate some of the issues that arise while quantifying images to answer a biological question by using a dataset of fly central nervous system …


Scalable Profiling And Visualization For Characterizing Microbiomes, Camilo Valdes Mar 2020

Scalable Profiling And Visualization For Characterizing Microbiomes, Camilo Valdes

FIU Electronic Theses and Dissertations

Metagenomics is the study of the combined genetic material found in microbiome samples, and it serves as an instrument for studying microbial communities, their biodiversities, and the relationships to their host environments. Creating, interpreting, and understanding microbial community profiles produced from microbiome samples is a challenging task as it requires large computational resources along with innovative techniques to process and analyze datasets that can contain terabytes of information.

The community profiles are critical because they provide information about what microorganisms are present in the sample, and in what proportions. This is particularly important as many human diseases and environmental disasters …


Incorporating Spatial Structure Into Bayesian Variable Selection Using Spike-And-Slab Priors With Application To Imaging Data, Justin Leach Jan 2020

Incorporating Spatial Structure Into Bayesian Variable Selection Using Spike-And-Slab Priors With Application To Imaging Data, Justin Leach

All ETDs from UAB

Many applications in neuroscience, psychology, medicine, and public health require collecting and analyzing imaging data. While fine resolution images may appear continuous to the naked eye, they are in fact made up of measurements at discrete locations, either pixels in 2D or voxels in 3D. These data may be treated as the scientific outcomes of interest, or as predictors of outcomes of interest. Here, the concern is with the latter situation, which involves converting images into formats amenable to a linear modeling framework; i.e., each subject’s image is converted into a vector, and used to model the subject’s (scalar) outcome …


Cable Footprint History: Spatio-Temporal Technique For Instrument Detection In Gastrointestinal Endoscopic Procedures, Chuanhai Zhang, Wallapak Tavanapong, Johnny S. Wong, Piet C. De Groen, Junghwan Oh Jun 2017

Cable Footprint History: Spatio-Temporal Technique For Instrument Detection In Gastrointestinal Endoscopic Procedures, Chuanhai Zhang, Wallapak Tavanapong, Johnny S. Wong, Piet C. De Groen, Junghwan Oh

Johnny Wong

We propose a new fast spatio-temporal technique that detects an operation scene---a video segment corresponding to a single purpose diagnosis action or a single purpose therapeutic action. The technique utilizes (1) color contrast of the cable region and the background, (2) the new area-based coordinate system to compute spatial features, and (3) the history of locations of detected cables of the instrument in a video to discard false regions. The proposed technique and software are useful for (1) automatic documentation of diagnostic or therapeutic operations at the end of the procedure, (2) a second review for causes of complications due …


Pathscan Enabler At Md Anderson Cancer Center, George Mcnamara Jul 2014

Pathscan Enabler At Md Anderson Cancer Center, George Mcnamara

George McNamara

McNamara 20140703 - Additional Pathscan and Tiki_Goddess related resources

http://works.bepress.com/gmcnamara/52

http://home.earthlink.net/~tiki_goddess/

http://works.bepress.com/gmcnamara/1/

http://works.bepress.com/gmcnamara/11/

https://www.linkedin.com/in/georgemcnamara

Our Pathscan Enabler IV, delivered July 2014, uses the QuickScan software to scan a histology slide in "two clicks" (after loading the

slide):

1. Push the QuickScan button on the front of the Pathscan Enabler.

2. Click the Scan button in the QuickScan pop-up application (optional: change scan area in the Prescan image window).

The image gets saved as a TIFF file to the Windows 7 (64-bit) desktop.

I have been using Pathscan Enabler's since version I in 2000. See Chantrain et al 2003:

Chantrain CF, …


Flatbed Scanner Report - Optical Density Dynamic Range, George Mcnamara Mar 2012

Flatbed Scanner Report - Optical Density Dynamic Range, George Mcnamara

George McNamara

George McNamara (now at University of Miami) report for Hua Yu and Richard Jove, City of Hope National Medical Center, on optical density dynamic range of several flatbed scanners.


Mcnamara 2011 Feature Extraction (Image Analysis), George Mcnamara Feb 2012

Mcnamara 2011 Feature Extraction (Image Analysis), George Mcnamara

George McNamara

Feature Extraction presentation and movies in a ZIP file from a presentation I gave at ISAC 2011 in Baltomore, Md.

Feature extraction is one phrase for image analysis.


Statistical Methods For Proteomic Biomarker Discovery Based On Feature Extraction Or Functional Modeling Approaches, Jeffrey S. Morris Jan 2012

Statistical Methods For Proteomic Biomarker Discovery Based On Feature Extraction Or Functional Modeling Approaches, Jeffrey S. Morris

Jeffrey S. Morris

In recent years, developments in molecular biotechnology have led to the increased promise of detecting and validating biomarkers, or molecular markers that relate to various biological or medical outcomes. Proteomics, the direct study of proteins in biological samples, plays an important role in the biomarker discovery process. These technologies produce complex, high dimensional functional and image data that present many analytical challenges that must be addressed properly for effective comparative proteomics studies that can yield potential biomarkers. Specific challenges include experimental design, preprocessing, feature extraction, and statistical analysis accounting for the inherent multiple testing issues. This paper reviews various computational …