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Design and Development of a Discrete Simulation for Optic Nerve Development By: Brent Hefty Greg Tevis Project Advisor: Samuel F. Hunter, M.D., Ph.D.

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Presentation on theme: "Design and Development of a Discrete Simulation for Optic Nerve Development By: Brent Hefty Greg Tevis Project Advisor: Samuel F. Hunter, M.D., Ph.D."— Presentation transcript:

1 Design and Development of a Discrete Simulation for Optic Nerve Development By: Brent Hefty Greg Tevis Project Advisor: Samuel F. Hunter, M.D., Ph.D.

2 Overall Purpose b To design and implement a simulation for central nervous system generation and repair as a function of micro-environmental interactions.

3 Data Structure Development b Main Tables Axon TableAxon Table Oligodendrocyte TableOligodendrocyte Table Myelin TableMyelin Table Astrocyte TableAstrocyte Table Astrocyte Process TableAstrocyte Process Table

4 Axon Table b Important aspects positionposition timetime

5 Oligodendrocyte Table b Important aspects: sheath numbersheath number timetime

6 Oligodendrocyte Representation

7 Myelin Table b Important aspects timetime references back to other tablereferences back to other table

8 Myelination Process Representation b Myelination Process Components Myelinating Oligodendrocyte Process attached to axon Maximum of 10 - 20 turns at.07 um per turn. Hypertophication after mylination

9 Astrocyte Table b Important aspects timetime position (due to size)position (due to size)

10 Astrocyte Process Table b Important aspects branchingbranching branching IDbranching ID

11 Astrocyte Representation

12 Design of Table in SQL b Use SQL Server Enterprise Manager b Select New Table option b Fill in fields according to model: Column NameColumn Name DatatypeDatatype LengthLength PrecisionPrecision ScaleScale Allow NullsAllow Nulls Default ValueDefault Value IdentityIdentity Identity SeedIdentity Seed Identity IncrementIdentity Increment

13 Change of Table Values b Initial Table b Record Table b Updated Table

14 SQL vs. Access SQL b Can publish to web b Cannot import HTML tables b Cannot hyperlink datatype b Automatic backups b Transaction log backup b Automatic recovery b Max. database size: 1,048,516 terabytes b Very Large Database (VLD) support b No built-in reporting Access b Can publish to web b Can import HTML tables b Can hyperlink datatype b No auotmatic backups b No transaction log backup b No automatic recovery b Max. database size: 1.2 GB b No Very Large Database (VLD) support b Built-in reporting

15 Project Status Past Work: b SQL is installed b Tables are constructed b Initial growth parameters and algorithms Future Work: b Fill table field values b Begin work on algorithm implementation


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