{"id":{"repo_id":"ku","oai_identifier":"oai:kuscholarworks.ku.edu:1808/6775"},"canonical_url":"https://search.dev.ndltd.org/etd/ku/oai:kuscholarworks.ku.edu:1808/6775","repository":{"repo_id":"ku","name":"University of Kansas","base_url":"https://kuscholarworks.ku.edu/server/oai/request"},"display":{"title":"A COMPARISON OF 2D IMAGE ANALYSIS AND DESIGN-BASED STEREOLOGY FOR EVALUATING MORPHOLOGICAL AND ANATOMICAL CHANGES IN THE DOPAMINERGIC SYSTEM OF THE RODENT MIDBRAIN","abstract":"Background. 2D analyses produce systematic errors in quantifying anatomical and morphological features in the brain. Design-based stereology overcomes this limitation by applying probability theory, yet many neuroscience investigators still use 2D analyses. The purpose of this study is to compare 2D analysis with design-based stereology in quantifying differences of morphological and anatomical features between groups. Methods. Brain tissue samples of three different rodent models were analyzed; chronic MPTP/probenecid PD (MPD) mouse model, alcohol preferring (AP) rat model, and the enriched environment (EE) rat model. 2D analyses and design-based stereology were used to quantify neuronal number, neuronal volume and regional volume. Student's t-test (two-tailed) was used to compare quantitative data. Results. 2D analyses generated significantly different estimation form design-based stereology in neuronal number and did not find relatively small differences of neuronal number. 2D analysis generated comparable value to design-based stereology in normalized data but not in actual value. 2D estimated accurately regional volume. Discussion. 2D analyses may be used for rough screening to find a difference of neuronal number and volume but should not for the estimation of actual value. Design-based stereology should be used to estimate neuronal number and volume. Both 2D analyses and design based stereology can be used for the estimation of regional volume.","abstract_html":"Background. 2D analyses produce systematic errors in quantifying anatomical and morphological features in the brain. Design-based stereology overcomes this limitation by applying probability theory, yet many neuroscience investigators still use 2D analyses. The purpose of this study is to compare 2D analysis with design-based stereology in quantifying differences of morphological and anatomical features between groups. Methods. Brain tissue samples of three different rodent models were analyzed; chronic MPTP/probenecid PD (MPD) mouse model, alcohol preferring (AP) rat model, and the enriched environment (EE) rat model. 2D analyses and design-based stereology were used to quantify neuronal number, neuronal volume and regional volume. Student&#x27;s t-test (two-tailed) was used to compare quantitative data. Results. 2D analyses generated significantly different estimation form design-based stereology in neuronal number and did not find relatively small differences of neuronal number. 2D analysis generated comparable value to design-based stereology in normalized data but not in actual value. 2D estimated accurately regional volume. Discussion. 2D analyses may be used for rough screening to find a difference of neuronal number and volume but should not for the estimation of actual value. Design-based stereology should be used to estimate neuronal number and volume. Both 2D analyses and design based stereology can be used for the estimation of regional volume.","abstract_has_math":false,"creators":["Park, Ji-Hyuk"],"institution":"University of Kansas","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Ahmad, Syed Omar"],"committee_chairs":[],"committee_members":[],"year":2010,"date_issued":"2010-06-13","date_published":"2010-06-13","updated_at":"2026-07-24T02:44:44Z","subjects":["Nanoscience","Biology","Morphology"],"languages":["en"],"rights":["This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["http://dissertations.umi.com/ku:10993"],"render_values":[{"text":"http://dissertations.umi.com/ku:10993","href":"http://dissertations.umi.com/ku:10993","code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/1808/6775","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Ahmad, Syed Omar"]},{"key":"dc:creator","label":"Author","values":["Park, Ji-Hyuk"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2010-10-03T14:06:20Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2010-10-03T14:06:20Z"]},{"key":"dc:date.issued","label":"Date","values":["2010-06-13"]},{"key":"dc:publisher","label":"Institution","values":["University of Kansas"]},{"key":"dc:type","label":"Dc Type","values":["Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Nanoscience","Biology","Morphology"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["http://dissertations.umi.com/ku:10993"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1808/6775"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Background. 2D analyses produce systematic errors in quantifying anatomical and morphological features in the brain. Design-based stereology overcomes this limitation by applying probability theory, yet many neuroscience investigators still use 2D analyses. The purpose of this study is to compare 2D analysis with design-based stereology in quantifying differences of morphological and anatomical features between groups. Methods. Brain tissue samples of three different rodent models were analyzed; chronic MPTP/probenecid PD (MPD) mouse model, alcohol preferring (AP) rat model, and the enriched environment (EE) rat model. 2D analyses and design-based stereology were used to quantify neuronal number, neuronal volume and regional volume. Student's t-test (two-tailed) was used to compare quantitative data. Results. 2D analyses generated significantly different estimation form design-based stereology in neuronal number and did not find relatively small differences of neuronal number. 2D analysis generated comparable value to design-based stereology in normalized data but not in actual value. 2D estimated accurately regional volume. Discussion. 2D analyses may be used for rough screening to find a difference of neuronal number and volume but should not for the estimation of actual value. Design-based stereology should be used to estimate neuronal number and volume. Both 2D analyses and design based stereology can be used for the estimation of regional volume."]},{"key":"dc:title","label":"Title","values":["A COMPARISON OF 2D IMAGE ANALYSIS AND DESIGN-BASED STEREOLOGY FOR EVALUATING MORPHOLOGICAL AND ANATOMICAL CHANGES IN THE DOPAMINERGIC SYSTEM OF THE RODENT MIDBRAIN"]}]}],"canonical_facts":{"dc:contributor.advisor":["Ahmad, Syed Omar"],"dc:creator":["Park, Ji-Hyuk"],"dc:date.accessioned":["2010-10-03T14:06:20Z"],"dc:date.available":["2010-10-03T14:06:20Z"],"dc:date.issued":["2010-06-13"],"dc:description.abstract":["Background. 2D analyses produce systematic errors in quantifying anatomical and morphological features in the brain. Design-based stereology overcomes this limitation by applying probability theory, yet many neuroscience investigators still use 2D analyses. The purpose of this study is to compare 2D analysis with design-based stereology in quantifying differences of morphological and anatomical features between groups. Methods. Brain tissue samples of three different rodent models were analyzed; chronic MPTP/probenecid PD (MPD) mouse model, alcohol preferring (AP) rat model, and the enriched environment (EE) rat model. 2D analyses and design-based stereology were used to quantify neuronal number, neuronal volume and regional volume. Student's t-test (two-tailed) was used to compare quantitative data. Results. 2D analyses generated significantly different estimation form design-based stereology in neuronal number and did not find relatively small differences of neuronal number. 2D analysis generated comparable value to design-based stereology in normalized data but not in actual value. 2D estimated accurately regional volume. Discussion. 2D analyses may be used for rough screening to find a difference of neuronal number and volume but should not for the estimation of actual value. Design-based stereology should be used to estimate neuronal number and volume. Both 2D analyses and design based stereology can be used for the estimation of regional volume."],"dc:identifier.other":["http://dissertations.umi.com/ku:10993"],"dc:identifier.uri":["http://hdl.handle.net/1808/6775"],"dc:language.iso":["en"],"dc:publisher":["University of Kansas"],"dc:rights":["This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author."],"dc:subject":["Nanoscience","Biology","Morphology"],"dc:title":["A COMPARISON OF 2D IMAGE ANALYSIS AND DESIGN-BASED STEREOLOGY FOR EVALUATING MORPHOLOGICAL AND ANATOMICAL CHANGES IN THE DOPAMINERGIC SYSTEM OF THE RODENT MIDBRAIN"],"dc:type":["Dissertation"]},"updated_at":"2026-07-24T02:44:44Z"}