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Soltisz, Andrew M, Veeraraghavan, Rengasayee (2023) Improving Spatial Analysis of Fluorescence Microscopy Images using Point Process Analysis. Microscopy and Microanalysis, 29. Oxford University Press (OUP) 2096-2098 doi:10.1093/micmic/ozad067.1085

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Reference TypeJournal (article/letter/editorial)
TitleImproving Spatial Analysis of Fluorescence Microscopy Images using Point Process Analysis
JournalMicroscopy and Microanalysis
AuthorsSoltisz, Andrew MAuthor
Veeraraghavan, RengasayeeAuthor
Year2023 (July 22)Volume29
PublisherOxford University Press (OUP)
DOIdoi:10.1093/micmic/ozad067.1085Search in ResearchGate
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Mindat Ref. ID16637523Long-form Identifiermindat:1:5:16637523:7
GUID0
Full ReferenceSoltisz, Andrew M, Veeraraghavan, Rengasayee (2023) Improving Spatial Analysis of Fluorescence Microscopy Images using Point Process Analysis. Microscopy and Microanalysis, 29. Oxford University Press (OUP) 2096-2098 doi:10.1093/micmic/ozad067.1085
Plain TextSoltisz, Andrew M, Veeraraghavan, Rengasayee (2023) Improving Spatial Analysis of Fluorescence Microscopy Images using Point Process Analysis. Microscopy and Microanalysis, 29. Oxford University Press (OUP) 2096-2098 doi:10.1093/micmic/ozad067.1085
In(2023) Microscopy and Microanalysis Vol. 29. Cambridge University Press (CUP)

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Soltisz, Andrew M, Veeraraghavan, Rengasayee (2023) A Point Process Analysis Framework for Quantitatively Describing Spatial Patterns from Fluorescence Microscopy Data. Microscopy and Microanalysis, 29. Oxford University Press (OUP) 1961-1963 doi:10.1093/micmic/ozad067.1016
Mezache, Louisa, Soltisz, Andrew, Radwanski, Przemsylaw B, Nuovo, Gerard J, Veeraraghavan, Rengasayee (2023) Indirect CLEM Identifies Nanoscale Remodeling Associated with Atrial Fibrillation in Diverse Etiologies, Enabling a Unified Therapeutic Approach. Microscopy and Microanalysis, 29. Oxford University Press (OUP) 1081-1082 doi:10.1093/micmic/ozad067.556
Soltisz, Andrew M, Craigmile, Peter F, Veeraraghavan, Rengasayee (2024) Spatial Pattern Analysis using Closest Events (SPACE)—A Nearest Neighbor Point Pattern Analysis Framework for Assessing Spatial Relationships from Digital Images. Microscopy and Microanalysis, 30 (2) 306-317 doi:10.1093/mam/ozae022
Beebe, Jeremy M (2023) Microscopy Methods for Analysis of Silicones. Microscopy and Microanalysis, 29. Oxford University Press (OUP) 168 doi:10.1093/micmic/ozad067.075
Agar, Joshua C (2023) Practical and Parsimonious Real-Time Analysis in Materials Microscopy. Microscopy and Microanalysis, 29. Oxford University Press (OUP) 1920 doi:10.1093/micmic/ozad067.992
Soltisz, Andrew, Veeraraghavan, Rengasayee, Bogdanov, Vladimir, Gyorke, Sandor (2021) Morphological Object Localization: A Novel Image Analysis Pipeline for Quantitative Spatial Localization of Biomolecule Signal from Fluorescence Microscopy Data. Microscopy and Microanalysis, 27. 2584-2586 doi:10.1017/s1431927621009181
Soltisz, Andrew M, Craigmile, Peter F, Veeraraghavan, Rengasayee (2024) Non-Parametric Voronoi Tessellation-Based Clustering Enables Rapid Point Pattern Analysis of Single Molecule Localizations in 3-D. Microscopy and Microanalysis, 30. doi:10.1093/mam/ozae044.175
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Minor, Andrew M (2023) Cryogenic 4D-STEM of Semicrystalline Polymers for Energy Applications. Microscopy and Microanalysis, 29. Oxford University Press (OUP) 1704 doi:10.1093/micmic/ozad067.878
Soltisz, Andrew M., Struckman, Heather, Radwański, Przemysław, Veeraraghavan, Rengasayee (2022) Nearest Neighbor-Based Spatial Analysis of Fluorescence Microscopy Data Reveals Increased Association of NaV1.6 with Cardiac Dyads in Mouse Model of Type-2 Diabetes. Microscopy and Microanalysis, 28. 1572-1575 doi:10.1017/s1431927622006316
 
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