Interocular symmetry, intraobserver repeatability, and interobserver reliability of cone density measurements in the 13-lined ground squirrel
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Rachel E Linderman | Joseph Carroll | Alexander E Salmon | Benjamin S Sajdak | Heather Heitkotter | Jenna A Cava | J. Carroll | R. Linderman | H. Heitkotter | A. Salmon | Benjamin S. Sajdak | Jenna A. Cava
[1] Jianfei Liu,et al. Automated Photoreceptor Cell Identification on Nonconfocal Adaptive Optics Images Using Multiscale Circular Voting , 2017, Investigative ophthalmology & visual science.
[2] Garet P Lahvis,et al. Current practices in a captive breeding colony of 13-lined ground squirrels (Ictidomys tridecemlineatus) , 2012, Lab Animal.
[3] D G Altman,et al. Statistics Notes: Measurement error proportional to the mean , 1996, BMJ.
[4] David Williams,et al. Noninvasive imaging of the human rod photoreceptor mosaic using a confocal adaptive optics scanning ophthalmoscope , 2011, Biomedical optics express.
[5] Omer P. Kocaoglu,et al. Phase-sensitive imaging of the outer retina using optical coherence tomography and adaptive optics , 2011, Biomedical optics express.
[6] Á. Szél,et al. Expression of phototransduction cascade genes in the ground squirrel retina. , 1994, Investigative ophthalmology & visual science.
[7] I T Young,et al. A comparison of different focus functions for use in autofocus algorithms. , 1985, Cytometry.
[8] Jessica C. Hsu,et al. The Reliability of Cone Density Measurements in the Presence of Rods , 2018, Translational vision science & technology.
[9] Christopher S. Langlo,et al. Noninvasive imaging of the thirteen-lined ground squirrel photoreceptor mosaic , 2016, Visual Neuroscience.
[10] D. Altman,et al. Measuring agreement in method comparison studies , 1999, Statistical methods in medical research.
[11] A. Dubra,et al. Reliability and Repeatability of Cone Density Measurements in Patients With Stargardt Disease and RPGR-Associated Retinopathy , 2017, Investigative ophthalmology & visual science.
[12] D. Altman,et al. STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.
[13] Alfredo Dubra,et al. Registration of 2D Images from Fast Scanning Ophthalmic Instruments , 2010, WBIR.
[14] Ahmadreza Baghaie,et al. An Automated Reference Frame Selection (ARFS) Algorithm for Cone Imaging with Adaptive Optics Scanning Light Ophthalmoscopy , 2017, Translational vision science & technology.
[15] M. Huynen,et al. The pros and cons of vertebrate animal models for functional and therapeutic research on inherited retinal dystrophies , 2015, Progress in Retinal and Eye Research.
[16] Joseph A. Izatt,et al. Theory of Optical Coherence Tomography , 2008 .
[17] Christopher S. Langlo,et al. In vivo imaging of human cone photoreceptor inner segments. , 2014, Investigative ophthalmology & visual science.
[18] Christopher S. Langlo,et al. Repeatability of In Vivo Parafoveal Cone Density and Spacing Measurements , 2012, Optometry and vision science : official publication of the American Academy of Optometry.
[19] David H Brainard,et al. Multi-modal automatic montaging of adaptive optics retinal images. , 2016, Biomedical optics express.
[20] Anupam K. Garg,et al. The reliability of parafoveal cone density measurements , 2014, British Journal of Ophthalmology.
[21] Sim Heng Ong,et al. Autofocusing for tissue microscopy , 1993, Image Vis. Comput..
[22] G H Jacobs,et al. The topography of rod and cone photoreceptors in the retina of the ground squirrel , 1998, Visual Neuroscience.
[23] S. Fisher,et al. The distributions of photoreceptors and ganglion cells in the California ground squirrel, Spermophilus beecheyi , 1983, The Journal of comparative neurology.
[24] Sina Farsiu,et al. Deep learning based detection of cone photoreceptors with multimodal adaptive optics scanning light ophthalmoscope images of achromatopsia. , 2018, Biomedical optics express.
[25] S. Ourselin,et al. Unsupervised identification of cone photoreceptors in non-confocal adaptive optics scanning light ophthalmoscope images. , 2017, Biomedical optics express.
[26] B. Jones,et al. Seasonal and post-trauma remodeling in cone-dominant ground squirrel retina. , 2016, Experimental eye research.
[27] Anne E Carpenter,et al. CellProfiler: free, versatile software for automated biological image analysis. , 2007, BioTechniques.
[28] A. Beckett,et al. AKUFO AND IBARAPA. , 1965, Lancet.
[29] A. Roorda,et al. Repeatability of Cone Spacing Measures in Eyes With Inherited Retinal Degenerations. , 2015, Investigative ophthalmology & visual science.
[30] Lawrence C. Sincich,et al. Light propagation and capture in cone photoreceptors. , 2018, Biomedical optics express.
[31] Anne E Carpenter,et al. Workflow and Metrics for Image Quality Control in Large-Scale High-Content Screens , 2012, Journal of biomolecular screening.
[32] S. Tarima,et al. Evaluating Descriptive Metrics of the Human Cone Mosaic , 2016, Investigative ophthalmology & visual science.
[33] Christopher S. Langlo,et al. REPEATABILITY AND LONGITUDINAL ASSESSMENT OF FOVEAL CONE STRUCTURE IN CNGB3-ASSOCIATED ACHROMATOPSIA , 2017, Retina.
[34] A. Roorda,et al. Intrinsic signals from human cone photoreceptors. , 2008, Investigative ophthalmology & visual science.
[35] Sina Farsiu,et al. Automatic detection of cone photoreceptors in split detector adaptive optics scanning light ophthalmoscope images , 2016, Biomedical optics express.
[36] Madia C. Russillo,et al. Assessing the Accuracy of Foveal Avascular Zone Measurements Using Optical Coherence Tomography Angiography: Segmentation and Scaling , 2017, Translational vision science & technology.
[37] D. Altman,et al. Applying the right statistics: analyses of measurement studies , 2003, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.
[38] A. Dubra,et al. Evaluating seasonal changes of cone photoreceptor structure in the 13-lined ground squirrel , 2019, Vision Research.
[39] Jennifer J. Hunter,et al. Cellular-scale evaluation of induced photoreceptor degeneration in the living primate eye. , 2018, Biomedical optics express.
[40] Sebastien Ourselin,et al. Automatic Cone Photoreceptor Localisation in Healthy and Stargardt Afflicted Retinas Using Deep Learning , 2018, Scientific Reports.
[41] Christopher S. Langlo,et al. Reliability and Repeatability of Cone Density Measurements in Patients with Congenital Achromatopsia. , 2016, Advances in experimental medicine and biology.
[42] M. Wilk,et al. Repeatability and Reproducibility of In Vivo Cone Density Measurements in the Adult Zebrafish Retina. , 2018, Advances in experimental medicine and biology.
[43] G. Luna,et al. Assessment of Outer Retinal Remodeling in the Hibernating 13-Lined Ground Squirrel , 2018, Investigative ophthalmology & visual science.
[44] Christine A. Curcio,et al. The spatial resolution capacity of human foveal retina , 1989, Vision Research.