請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/79969完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 顏家鈺 | |
| dc.contributor.author | Yu-Hsuan Lin | en |
| dc.contributor.author | 林昱萱 | zh_TW |
| dc.date.accessioned | 2022-11-23T09:18:59Z | - |
| dc.date.available | 2021-08-06 | |
| dc.date.available | 2022-11-23T09:18:59Z | - |
| dc.date.copyright | 2021-08-06 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-07-23 | |
| dc.identifier.citation | Brandel. , “Cytogration System”, http://www.brandel.com/integrationinvitro.html SelectScience, “CompacT SelecT SC Automatic stem cell culture system, https://www.selectscience.net/products/compact-select-sc-automated-stem-cell-culture-system/?prodID=13635 B. Horn, B. Klaus, Robot Vision, MIT Press, 1986. P. Gehler, S. Nowozin, On feature combination for multiclass object classification, IEEE 12th International Conference on Computer Vision, 2009 F. Scotti, Robust segmentation and measurements techniques of white cells in blood microscope image, IMTC Instrumentation and Measurement, 2006. N. Otsu, A Threshold Selection Method from Gray-Level Histograms, in Systems, Man, and Cybernetics. IEEE trans., 1979. S. Belongie, J. Malik, and J. Puzicha. Shape matching and object recognition using shape contexts. IEEE Transactions on Pattern Analysis and Machine Intelligemce, 2002 Z. Nan, Q. Xu, Multiple-cell recognition and path planning for robotic microinjection system. Chinese Control Conference, 2017 D. Kami et al., 'Large-scale cell production of stem cells for clinical application using the automated cell processing machine,' BMC biotechnology, vol. 13, no. 1, 2013. S. Konagaya, T. Ando, T. Yamauchi, H. Suemori, and H. Iwata, 'Long-term maintenance of human induced pluripotent stem cells by automated cell culture system,' Scientific reports, vol. 5, no. 1, 2015. U. Marx et al., 'Automatic production of induced pluripotent stem cells,' Procedia CIRP, vol. 5, 2013. R. Nagasaka et al., 'Visualization of morphological categories of colonies for monitoring of effect on induced pluripotent stem cell culture status,' Regenerative Therapy, vol. 6, 2017. M. E. Kempner and R. A. Felder, 'A review of cell culture automation,' JALA: Journal of the Association for Laboratory Automation, vol. 7, no. 2, pp. 56-62, 2002. M. F. Cowlishaw, “Fundamental requirements for picture presentation,” Society For Information Display, vol. 26, no. 2, 1985 J. Angulo, S. Velasco-Forero, F. Meyer, 2017, Mathematical Morphology and Its Applications to Signal and Image Processing, France, Springer International Publishing J. Kittler, J. Illingowrth, Minimum Error Thresholding, Pattern Recognition, vol.19, no.1, p.41-47, 1986 Pierre D. Wellner, Adaptive Thresholding for the DigitalDesk, EuroPARC Technical Report EPC-93-110 L. G. Shapiro, G. C. Stockman, Computer Vision, United States, Pearson Publishing X. Jiang, E. Barnett, C. Gosselin, Dynamic Point-to-Point Trajectory Planning Beyond the Static Workspace for Six-DOF Cable-Suspended Parallel Robot, IEEE Transactions on Robotics, vol.34, no.3, June 2018 T. Piotrowski, O. Rippel, A. Elanzew, B. Nießing, S. Stucken, S. Jung, N. König, S. Haupt, L. Stappert, O. Brüstle, R. Schmitt, S. Jonas, Deep-learning-based multi-class segmentation for automated non-invasive routine assessment of human pluripotent stem cell culture status, Computers in Biology and Medicine 129-104172, 2021 T. Leemhuis, D. Padley, C. Keever-Taylor, D. Niederwieser, T. Teshima, F. Lanza, C. Chabannon, P. Szabolcs, A. Bazarbachi, MBC Koh, Essential requirements for setting up a stem cell processing laboratory, Bone Marrow Transplantation, 2014 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/79969 | - |
| dc.description.abstract | 隨著科技的發展,自動化細胞培養系統已逐漸取代傳統的人工細胞養殖方法,利用機器不間斷進行重複動作的特性,提升細胞養殖效率,不但可以降低專業人員因重複動作所造成之職業傷害以及高工時問題,還可使研究人員進行其他機器無法取代之工作。然而,目前市面上自動化細胞養殖系統尚未達到完全的自動化,仍有些許動作需要人工進行輔助判斷。幹細胞又屬一種具有淺在功能的細胞,經由特殊刺激可使其分化成各種特定組織,可幫助器官組織上之修復。 綜合以上,本論文欲提升幹細胞培養系統之自動化程度,將原需由人工進行輔助判斷之工作利用數位運算方式取代,藉由機器視覺搭配影像處理中特徵處理方式針對幹細胞分化與否進行辨識,並將眾辨識結果縫合成一大範圍之影像,最後搭配機器人將欲移除幹細胞進行移除。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-23T09:18:59Z (GMT). No. of bitstreams: 1 U0001-2307202115023800.pdf: 5002474 bytes, checksum: 78b131d55886653057cf0a30a8c28378 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 口試委員會審定書 i 序言 ii 摘要 iii ABSTRACT iv 目錄 v 圖目錄 viii 表目錄 xi 第一章 緒論 1 1.1研究動機 1 1.2文獻回顧 2 1.3研究目的 3 1.4論文架構 4 第二章 影像處理 6 2.1影像基本介紹 6 2.1.1像素Pixel 6 2.1.2三原色光模式RGB Color Model [14] 6 2.1.3灰階影像Gray Scale 7 2.2影像形態學MATHEMATICAL MORPHOLOGY [15] 8 2.2.1侵蝕Dilation 8 2.2.2.膨脹Erosion 11 2.3圖像二值化 THRESHOLD 14 2.3.1平均值法 14 2.3.2雙峰法 15 2.3.3大津演算法 Otsu’s Method [6] 16 2.3.4最小誤差法 [16] 17 2.3.5自適應閥值法Adaptive Threshold [17] 18 第三章 實驗內容 19 3.1實驗設備 19 3.1.1實驗設備介紹 19 3.1.2培養箱設計 19 3.1.3培養箱控制 20 3.2實驗一、分化與未分化細胞辨識 22 3.2.1幹細胞培養方式之選擇 22 3.2.2實驗流程 22 3.2.3閥值選擇 23 3.2.4實驗結果 25 3.2.5與人工標記結果比較 27 3.2.6與人工智能結果比較 30 3.3實驗二、全域圖分析 35 3.3.1實驗流程 35 3.3.2照片取得及編碼 37 3.3.3第一次圖片切割 38 3.3.4圖片分析 40 3.3.5圖像近似 41 3.3.6圖像分割 Segmentation [18] 41 3.3.7全域圖縫合 42 3.3.8中間點定位 46 3.3.9路徑規劃 [19] 49 3.3.10實驗結果 50 3.4實驗三、細胞辨識搭配全域圖分析 52 3.4.1實驗流程 52 3.4.2細胞介紹 53 3.4.3細胞辨識 54 3.4.4實驗結果 56 3.4.5 與人工智能結果比較 60 第四章 結論與未來展望 62 4.1結論 62 4.2未來展望 62 參考文獻 65 | |
| dc.language.iso | zh-TW | |
| dc.subject | 路徑規劃 | zh_TW |
| dc.subject | 自動化幹細胞培養系統 | zh_TW |
| dc.subject | 機器視覺 | zh_TW |
| dc.subject | 幹細胞辨識 | zh_TW |
| dc.subject | 圖像分割 | zh_TW |
| dc.subject | 影像縫合 | zh_TW |
| dc.subject | 全域細胞 | zh_TW |
| dc.subject | Stem cell identification | en |
| dc.subject | Trajectory planning | en |
| dc.subject | Whole well | en |
| dc.subject | Image stitching | en |
| dc.subject | Segmentation | en |
| dc.subject | Automatic stem cell culture system | en |
| dc.subject | Machine vision | en |
| dc.title | 可配合機器人培養操作之大範圍幹細胞辨識技術 | zh_TW |
| dc.title | Large Area Cell Identification for Robotic Stem Cell Culture | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳晉興(Hsin-Tsai Liu),陳佑宗(Chih-Yang Tseng),劉書宏 | |
| dc.subject.keyword | 自動化幹細胞培養系統,機器視覺,幹細胞辨識,圖像分割,影像縫合,全域細胞,路徑規劃, | zh_TW |
| dc.subject.keyword | Automatic stem cell culture system,Machine vision,Stem cell identification,Segmentation,Image stitching,Whole well,Trajectory planning, | en |
| dc.relation.page | 68 | |
| dc.identifier.doi | 10.6342/NTU202101688 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2021-07-26 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 機械工程學研究所 | zh_TW |
| 顯示於系所單位: | 機械工程學系 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| U0001-2307202115023800.pdf | 4.89 MB | Adobe PDF | 檢視/開啟 |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
