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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 魏安祺(An-Chi Wei) | |
| dc.contributor.author | Ching-Hsiang Chu | en |
| dc.contributor.author | 朱景詳 | zh_TW |
| dc.date.accessioned | 2022-11-24T03:18:33Z | - |
| dc.date.available | 2021-11-06 | |
| dc.date.available | 2022-11-24T03:18:33Z | - |
| dc.date.copyright | 2021-11-06 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-09-29 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80838 | - |
| dc.description.abstract | 粒線體作為與細胞代謝、能量及生命週期均息息相關的胞器，在細胞中會不斷地透過融合、分裂、再生、自噬、移動等動態行為來調整其型態及維持生理功能，以因應不同的環境條件及外在壓力。在本篇論文中，我們透過共軛焦螢光顯微鏡觀察INS-1以及PANC-1細胞的粒線體在不同的葡萄糖濃度環境以及藥物環境下的型態變化，並透過調整自參考論文中的影像分析方法來分析2D及3D的粒線體螢光影像以取得量化的指標，進而判斷粒線體在不同條件下的網路型態及動態平衡。 接著，為了進一步利用影像分析的結果以取得粒線體融合以及分裂速率的相關參數，我們採用並調整文獻中的粒線體網路模型，利用基因演算法搜尋「尖端對尖端」、「尖端對側邊」這兩種粒線體融合分裂模式的速率參數，並比較這些參數在細胞環境改變下呈現的趨勢。同時，我們也針對固有的粒線體網路模型進行改良，使之成為擁有再生、自噬及相對位置等反應及資訊的代理人模型，以模擬並視覺化粒線體的動態網路。 結果顯示，INS-1細胞在藥物FCCP作用、葡萄糖缺乏以及過高的情況下，於顯微影像中呈現較為破碎的粒線體型態，並在粒線體網路模型中擁有較低的融合速率。綜觀而言，這篇論文提供了包含細胞實驗、影像分析以及電腦模型的整合流程方法，使粒線體動態行為的研究更為有效率及便利。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-24T03:18:33Z (GMT). No. of bitstreams: 1 U0001-2909202121511200.pdf: 10584647 bytes, checksum: c666a81cfe8ac84e09f3f5b230f095fe (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 摘要 ii Abstract iii Table of Contents v List of Figures vii List of Tables xi Chapter 1: Introduction 1 Section 1.1 Mitochondria Dynamics and Functions 1 Section 1.2: Analyses for Mitochondria Fluorescent Images 12 Section 1.3: Computational Network Model of Mitochondria Dynamics 25 Section 1.4: Motivation and Objectives 36 Chapter 2: Methods and Materials 39 Section 2.1 Cell Culture 39 Section 2.2 Cell Imaging 42 Section 2.3 Image Analysis Pipelines 45 Section 2.4 Agent-Based Network Model for Mitochondria Simulation 73 Section 2.5 Genetic Algorithm for Parameters Fitting 89 Section 2.6 Statistical Analysis 96 Chapter 3: Results 97 Section 3.1 Image Analysis for INS-1 97 Section 3.2 Image Analysis for PANC-1 127 Section 3.3 Other Examples for Image Analysis 139 Section 3.4 Genetic Algorithm Fitting for parameters searching 142 Section 3.5 Agent-based Network Model for Visualization 150 Chapter 4: Discussion 156 Section 4.1 Experimental Design and Difficulties 156 Section 4.2 Validation and Limitation of Image Analysis Pipelines 159 Section 4.3 Remark and Limitation of Network Model and GA Fitting 163 Chapter 5: Conclusion and Future Works 169 Section 5.1 Conclusion and Summary of this study 169 Section 5.2 Future Works 173 References 176 | |
| dc.language.iso | en | |
| dc.subject | 代理人模型 | zh_TW |
| dc.subject | 融合/分裂速率 | zh_TW |
| dc.subject | 2D/3D影像分析 | zh_TW |
| dc.subject | 參數擬合 | zh_TW |
| dc.subject | 粒線體型態 | zh_TW |
| dc.subject | agent-based model | en |
| dc.subject | parameter fitting | en |
| dc.subject | fusion/fission rates | en |
| dc.subject | mitochondrial morphology | en |
| dc.subject | 2D/3D image analysis | en |
| dc.title | 利用粒線體顯微影像進行粒線體網路分析及電腦模擬 | zh_TW |
| dc.title | Mitochondrial network analyses and computational simulations based on confocal microscopic mitochondria images | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 何亦平(Hsin-Tsai Liu),劉彥良(Chih-Yang Tseng) | |
| dc.subject.keyword | 粒線體型態,2D/3D影像分析,代理人模型,融合/分裂速率,參數擬合, | zh_TW |
| dc.subject.keyword | mitochondrial morphology,2D/3D image analysis,agent-based model,fusion/fission rates,parameter fitting, | en |
| dc.relation.page | 185 | |
| dc.identifier.doi | 10.6342/NTU202103464 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2021-10-01 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 生醫電子與資訊學研究所 | zh_TW |
| 顯示於系所單位： | 生醫電子與資訊學研究所 | |
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