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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 楊鏡堂(Jing-Tang Yang) | |
dc.contributor.author | Yi-Ting Hsiau | en |
dc.contributor.author | 蕭翊庭 | zh_TW |
dc.date.accessioned | 2022-11-25T07:29:42Z | - |
dc.date.available | 2023-08-31 | |
dc.date.copyright | 2021-08-18 | |
dc.date.issued | 2021 | |
dc.date.submitted | 2021-07-20 | |
dc.identifier.citation | Albenge, O., Lacabanne, C., Beguin, J.-D., Koënen, A., Evo, C. (2002). Experimental procedure to measure the blocking energy of liquid on smooth hydrophobic surfaces. Langmuir, 18(23), 8929-8932. Alkayyali, T., Cameron, T., Haltli, B., Kerr, R., Ahmadi, A. (2019). Microfluidic and cross-linking methods for encapsulation of living cells and bacteria-a review. Analytica Chimica Acta, 1053, 1-21. Almansour, N. A., Syed, H. F., Khayat, N. R., Altheeb, R. K., Juri, R. E., Alhiyafi, J., Alrashed, S., Olatunji, S. O. (2019). Neural network and support vector machine for the prediction of chronic kidney disease: A comparative study. Computers in Biology Medicine, 109, 101-111. Anna, S. L., Bontoux, N., Stone, H. A. (2003). Formation of dispersions using “flow focusing” in microchannels. Applied Physics Letters, 82(3), 364-366. Au, S. H., Edd, J., Stoddard, A. E., Wong, K. H., Fachin, F., Maheswaran, S., Haber, D. A., Stott, S. L., Kapur, R., Toner, M. (2017). Microfluidic isolation of circulating tumor cell clusters by size and asymmetry. Scientific Reports, 7(1), 1-10. Babahosseini, H., Misteli, T., DeVoe, D. L. (2019). Microfluidic on-demand droplet generation, storage, retrieval, and merging for single-cell pairing. Lab on a Chip, 19(3), 493-502. Bigorra, L., Merino, A., Alferez, S., Rodellar, J. (2017). Feature analysis and automatic identification of leukemic lineage blast cells and reactive lymphoid cells from peripheral blood cell images. Journal of Clinical Laboratory Analysis, 31(2), e22024. Braiki, M., Benzinou, A., Nasreddine, K., Labidi, S., Hymery, N. (2016). Segmentation of dendritic cells from microscopic images using mathematical morphology. Paper presented at the 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). Cassie, A., Baxter, S. (1944). Wettability of porous surfaces. Transactions of the Faraday Society, 40, 546-551. Chaudhury, M. K., Whitesides, G. M. (1992). How to make water run uphill. Science, 256(5063), 1539-1541. Chung, A. J. (2019). A Minireview on inertial microfluidics fundamentals: Inertial particle focusing and secondary flow. BioChip Journal, 13(1), 53-63. Collins, D. J., Alan, T., Helmerson, K., Neild, A. (2013). Surface acoustic waves for on-demand production of picoliter droplets and particle encapsulation. Lab on a Chip, 13(16), 3225-3231. Collins, D. J., Neild, A., deMello, A., Liu, A.-Q., Ai, Y. (2015). The Poisson distribution and beyond: methods for microfluidic droplet production and single cell encapsulation. Lab on a Chip, 15(17), 3439-3459. Dalili, A., Samiei, E., Hoorfar, M. (2019). A review of sorting, separation and isolation of cells and microbeads for biomedical applications: microfluidic approaches. Analyst, 144(1), 87-113. Elsalamony, H. A. (2018). Detection of anaemia disease in human red blood cells using cell signature, neural networks and SVM. Multimedia Tools Applications, 77(12), 15047-15074. Fan, X., Jia, C., Yang, J., Li, G., Mao, H., Jin, Q., Zhao, J. (2015). A microfluidic chip integrated with a high-density PDMS-based microfiltration membrane for rapid isolation and detection of circulating tumor cells. Biosensors Bioelectronics, 71, 380-386. Gokaltun, A., Yarmush, M. L., Asatekin, A., Usta, O. B. (2017). Recent advances in nonbiofouling PDMS surface modification strategies applicable to microfluidic technology. Technology, 5(01), 1-12. Hao, Z., Li, W. (2021). A Review of Smart Lubricant-Infused Surfaces for Droplet Manipulation. Nanomaterials, 11(3), 801. Haralick, R. M., Sternberg, S. R., Zhuang, X. (1987). Image analysis using mathematical morphology. IEEE Transactions on Pattern Analysis Machine Intelligence(4), 532-550. Hong, J., Andrew, J. d., Jayasinghe, S. N. (2010). Bio-electrospraying and droplet-based microfluidics: control of cell numbers within living residues. Biomedical Materials, 5(2), 021001. Huang, C.-L., Lian, M.-J., Wu, Y.-H., Chen, W.-M., Chiu, W.-T. (2020). Identification of Human Ovarian Adenocarcinoma Cells with Cisplatin-resistance by Feature Extraction of Gray Level Co-occurrence Matrix Using Optical Images. Diagnostics, 10(6), 389. Ichimura, K., Oh, S.-K., Nakagawa, M. (2000). Light-driven motion of liquids on a photoresponsive surface. Science, 288(5471), 1624-1626. Jiang, K., Lu, A. X., Dimitrakopoulos, P., DeVoe, D. L., Raghavan, S. R. (2015). Microfluidic generation of uniform water droplets using gas as the continuous phase. Journal of Colloid Interface Science, 448, 275-279. Jiao, Z., Huang, X., Nguyen, N.-T. (2008). Manipulation of a droplet in a planar channel by periodic thermocapillary actuation. Journal of Micromechanics Microengineering, 18(4), 045027. Jing, T., Ramji, R., Warkiani, M. E., Han, J., Lim, C. T., Chen, C.-H. (2015). Jetting microfluidics with size-sorting capability for single-cell protease detection. Biosensors and Bioelectronics, 66, 19-23. Jo, Y., Shen, F., Hahn, Y. K., Park, J.-H., Park, J.-K. (2016). Magnetophoretic sorting of single cell-containing microdroplets. Micromachines, 7(4), 56. Kavitha, J., Suruliandi, A. (2016). Texture and color feature extraction for classification of melanoma using SVM. Paper presented at the 2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16). Kemna, E. W., Schoeman, R. M., Wolbers, F., Vermes, I., Weitz, D. A., Van Den Berg, A. (2012). High-yield cell ordering and deterministic cell-in-droplet encapsulation using Dean flow in a curved microchannel. Lab on a Chip, 12(16), 2881-2887. Kobayashi, T., Maeda, H., Konishi, S. (2017). Photoresponsive wettability switching of TiO2-coated micropillar arrays with different geometries of overhang roofs. Micro Nano Letters, 12(8), 540-544. Lai, A., Altemose, N., White, J. A., Streets, A. M. (2019). On-ratio PDMS bonding for multilayer microfluidic device fabrication. Journal of Micromechanics Microengineering, 29(10), 107001. Lai, Y.-H., Yang, J.-T., Shieh, D.-B. (2010). A microchip fabricated with a vapor-diffusion self-assembled-monolayer method to transport droplets across superhydrophobic to hydrophilic surfaces. Lab on a Chip, 10(4), 499-504. Lee, K., Kim, S.-E., Doh, J., Kim, K., Chung, W. K. (2021). User-friendly image-activated microfluidic cell sorting technique using an optimized, fast deep learning algorithm. Lab on a Chip. 21(9), 1798-1810. Li, Y., Zhu, R., Mi, L., Cao, Y., Yao, D. (2016). Segmentation of white blood cell from acute lymphoblastic leukemia images using dual-threshold method. Computational Mathematical Methods in Medicine, 2016. Liang, G., Hong, H., Xie, W., Zheng, L. (2018). Combining convolutional neural network with recursive neural network for blood cell image classification. IEEE Access, 6, 36188-36197. Loddo, A., Di Ruberto, C., Kocher, M. (2018). Recent advances of malaria parasites detection systems based on mathematical morphology. Sensors, 18(2), 513. Mandyartha, E. P., Anggraeny, F. T., Muttaqin, F., Akbar, F. A. (2020). Global and adaptive thresholding technique for white blood cell image segmentation. Paper presented at the Journal of Physics: Conference Series. Mazutis, L., Gilbert, J., Ung, W. L., Weitz, D. A., Griffiths, A. D., Heyman, J. A. (2013). Single-cell analysis and sorting using droplet-based microfluidics. Nature Protocols, 8(5), 870-891. Moreira, A., Carneiro, J., Campos, J., Miranda, J. (2021). Production of hydrogel microparticles in microfluidic devices: a review. Microfluidics Nanofluidics, 25(2), 1-24. Motohashi, N., Asakura, Y., Asakura, A. (2014). Isolation, culture, and transplantation of muscle satellite cells. JoVE(86), e50846. Pan, Y., Zhou, T., Xi, Y. (2015). Bacterial foraging based edge detection for cell image segmentation. Paper presented at the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Park, J. W., Na, S., Kang, M., Sim, S. J., Jeon, N. L. (2017). PDMS microchannel surface modification with Teflon for algal lipid research. BioChip Journal, 11(3), 180-186. Park, S.-Y., Wu, T.-H., Chen, Y., Teitell, M. A., Chiou, P.-Y. (2011). High-speed droplet generation on demand driven by pulse laser-induced cavitation. Lab on a Chip, 11(6), 1010-1012. Patankar, N. A. (2003). On the modeling of hydrophobic contact angles on rough surfaces. Langmuir, 19(4), 1249-1253. Ren, L., Chen, Y., Li, P., Mao, Z., Huang, P.-H., Rufo, J., Guo, F., Wang, L., McCoy, J. P., Levine, S. J. (2015). A high-throughput acoustic cell sorter. Lab on a Chip, 15(19), 3870-3879. Researchandmarkets. (2021). Regenerative Medicine Market - Global Outlook and Forecast 2021-2026. Retrieved from https://www.researchandmarkets.com/reports/5336112/regenerative-medicine-market-global-outlook-and?utm_source=GNOM utm_medium=PressRelease utm_code=rd6vkg utm_campaign=1550910++Global+Regenerative+Medicine+Market+Outlook+and+Forecast+Report+2021%3a+Market+Size+to+Grow+at+a+CAGR+of+Around+34%25+During+the+Period+2020-2026 utm_exec=chdo54prd Rodellar, J., Alférez, S., Acevedo, A., Molina, A., Merino, A. (2018). Image processing and machine learning in the morphological analysis of blood cells. International Journal of Laboratory Hematology, 40, 46-53. Schoendube, J., Wright, D., Zengerle, R., Koltay, P. (2015). Single-cell printing based on impedance detection. Biomicrofluidics, 9(1), 014117. Segre, G., Silberberg, A. (1961). Radial particle displacements in Poiseuille flow of suspensions. Nature, 189(4760), 209-210. Sesen, M., Whyte, G. (2020). Image-based single cell sorting automation in droplet microfluidics. Scientific Reports, 10(1), 1-14. Shen, Y., Yalikun, Y., Tanaka, Y. (2019). Recent advances in microfluidic cell sorting systems. Sensors Actuators B: Chemical, 282, 268-281. Shin, S., Kim, N., Hong, J. W. (2018). Comparison of surface modification techniques on polydimethylsiloxane to prevent protein adsorption. BioChip Journal, 12(2), 123-127. Song, H., Rosano, J. M., Wang, Y., Garson, C. J., Prabhakarpandian, B., Pant, K., Klarmann, G. J., Perantoni, A., Alvarez, L. M., Lai, E. (2015). Continuous-flow sorting of stem cells and differentiation products based on dielectrophoresis. Lab on a Chip, 15(5), 1320-1328. Sun, D., Gomez, G., Böhringer, K. F. (2019). Droplet manipulation using AC ewod-actuated anisotropic ratchet conveyor. Paper presented at the 2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems Eurosensors XXXIII (TRANSDUCERS EUROSENSORS XXXIII). Thorsen, T., Roberts, R. W., Arnold, F. H., Quake, S. R. (2001). Dynamic pattern formation in a vesicle-generating microfluidic device. Physical Review Letters, 86(18), 4163. Tirandazi, P., Hidrovo, C. H. (2017). Liquid-in-gas droplet microfluidics; experimental characterization of droplet morphology, generation frequency, and monodispersity in a flow-focusing microfluidic device. Journal of Micromechanics Microengineering, 27(7), 075020. Trantidou, T., Elani, Y., Parsons, E., Ces, O. (2017). Hydrophilic surface modification of PDMS for droplet microfluidics using a simple, quick, and robust method via PVA deposition. Microsystems Nanoengineering, 3(1), 1-9. Umbanhowar, P., Prasad, V., Weitz, D. A. (2000). Monodisperse emulsion generation via drop break off in a coflowing stream. Langmuir, 16(2), 347-351. Vaghela, H., Modi, H., Pandya, M., Potdar, M. (2016). A novel approach to detect chronic leukemia using shape based feature extraction and identification with digital image processing. International Journal of Applied Information Systems, 11(5), 9-16. van Teeffelen, S., Shaevitz, J. W., Gitai, Z. (2012). Image analysis in fluorescence microscopy: bacterial dynamics as a case study. Bioessays, 34(5), 427-436. Wang, X., Chen, S., Kong, M., Wang, Z., Costa, K. D., Li, R. A., Sun, D. (2011). Enhanced cell sorting and manipulation with combined optical tweezer and microfluidic chip technologies. Lab on a Chip, 11(21), 3656-3662. Warkiani, M. E., Guan, G., Luan, K. B., Lee, W. C., Bhagat, A. A. S., Chaudhuri, P. K., Tan, D. S.-W., Lim, W. T., Lee, S. C., Chen, P. C. (2014). Slanted spiral microfluidics for the ultra-fast, label-free isolation of circulating tumor cells. Lab on a Chip, 14(1), 128-137. Wei, X., Chen, K., Guo, S., Liu, W., Zhao, X.-Z. (2021). Emerging Microfluidic Technologies for the Detection of Circulating Tumor Cells and Fetal Nucleated Red Blood Cells. ACS Applied Bio Materials, 4(2), 1140-1155. Wenzel, R. N. (1936). Resistance of solid surfaces to wetting by water. Industrial Engineering Chemistry, 28(8), 988-994. Yamada, M., Nakashima, M., Seki, M. (2004). Pinched flow fractionation: continuous size separation of particles utilizing a laminar flow profile in a pinched microchannel. Analytical Chemistry, 76(18), 5465-5471. Yang, J.-T., Chen, J. C., Huang, K.-J., Yeh, J. A. (2006). Droplet manipulation on a hydrophobic textured surface with roughened patterns. Journal of Microelectromechanical Systems, 15(3), 697-707. Yang, J.-T., Yang, Z.-H., Chen, C.-Y., Yao, D.-J. (2008). Conversion of surface energy and manipulation of a single droplet across micropatterned surfaces. Langmuir, 24(17), 9889-9897. Yoon, D. H., Ito, J., Sekiguchi, T., Shoji, S. (2013). Active and precise control of microdroplet division using horizontal pneumatic valves in bifurcating microchannel. Micromachines, 4(2), 197-205. Yoon, D. H., Wakui, D., Nakahara, A., Sekiguchi, T., Shoji, S. (2015). Selective droplet sampling using a minimum number of horizontal pneumatic actuators in a high aspect ratio and highly flexible PDMS device. RSC advances, 5(3), 2070-2074. Yoon, J.-Y., Garrell, R. L. (2008). Biomolecular Adsorption in Microfluidics. In D. Li (Ed.), Encyclopedia of Microfluidics and Nanofluidics (pp. 68-76). Boston, MA: Springer US. Young, T. (1805). III. An essay on the cohesion of fluids. Philosophical Transactions of the Royal Society of London(95), 65-87. Zhu, P., Wang, L. (2017). Passive and active droplet generation with microfluidics: a review. Lab on a Chip, 17(1), 34-75. 朱旭剛,2015,應用氣動式液珠驅動平台於胰島功能篩檢,國立台灣大學機械工程學系碩士論文。 高培瑄,2018,雙層乳化液珠微流體系統應用於豆類食品添加物之偵測與分析,國立台灣大學機械工程學系碩士論文。 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/82359 | - |
dc.description.abstract | 本研究主旨為開發自動化肌肉衛星細胞篩檢系統,以氣體作為連續相生成液珠包覆細胞,並透過影像辨識判斷液珠內是否含目標細胞,再回授訊號控制流道下方的氣動微型閥,藉由流道底層的薄膜受壓形變,改變流道內壓力分佈以操控液珠移動,將含有肌肉衛星細胞或雜質的液珠予以分離。由於肌肉衛星細胞為稀少細胞,經本系統篩選後可提高於細胞液中的純度,有望提升後續培養的效率,以提供再生醫學研究使用。 本研究首先使用去離子水作為分散相,探討氣體生成液珠的穩定性與流道幾何和兩相流率調控之關聯,並獲取適用於本研究之設計和參數。接著本研究使用Y字型分岔出口流道設計和一對氣動微型閥,對生成的液珠進行分類機制的探討,可達到100 %的分類準確率。本研究亦驗證使用氣體生成液珠包覆細胞之可行性,證實此法具發展潛力,然而穩定性仍不如傳統油類生成液珠佳,因此目前將流道改質為親水性,生成區段狀液珠作為解決方法,未來仍可透過本研究之成果持續改善。本研究透過LabVIEW軟體,建立完整的影像辨識及回授控制系統,可藉由辨識液珠內的螢光訊號,以主動式控制氣動閥進行液珠篩選。然而因所使用的細胞螢光強度不足,目前以粒徑相近的5 μm螢光微粒子替代。結合以上各部件,經本研究開發之晶片篩選後可將檢體中的螢光微粒子純度提升6 %,未來待細胞螢光強度提升後,即可建立完整的自動化肌肉衛星細胞篩檢系統。 本研究期望藉由氣體生成液珠包覆細胞以及實現於氣體連續相中分類液珠等兩項重點創新,開發高生物相容性、後端使用便利之高純度肌肉衛星細胞篩檢微流道系統。此系統期望可取代傳統篩選細胞使用的大形昂貴儀器,並彌補現行連續流及油類連續液珠流等微流體細胞篩選方法之不足。 | zh_TW |
dc.description.provenance | Made available in DSpace on 2022-11-25T07:29:42Z (GMT). No. of bitstreams: 1 U0001-1407202113315100.pdf: 5999257 bytes, checksum: 3eae3c6c4cb27fb26f6757c74a74fe53 (MD5) Previous issue date: 2021 | en |
dc.description.tableofcontents | 口試委員會審定書 i 誌 謝 ii 摘 要 iii Abstract iv 目 錄 vi 圖目錄 x 表目錄 xv 符號說明 xvi 第一章 前言 1 1-1 研究背景 1 1-2 研究動機與目的 2 第二章 文獻回顧 3 2-1 液珠的基本理論 3 2-1.1 尺寸效應 3 2-1.2 液珠與表面接觸模式 5 2-1.3 表面自由能 6 2-1.4 遲滯效應 7 2-2 細胞篩選 7 2-2.1 被動式 7 2-2.2 主動式 10 2-3 液珠操控技術 12 2-3.1 介電濕潤法 13 2-3.2 光能操控法 13 2-3.3 熱能操控法 14 2-3.4 表面化學能操控法 15 2-3.5 表面微結構法 15 2-3.6 氣動微型閥操控法 16 2-4 液珠生成 17 2-4.1 流道設計 17 2-4.2 被動式液珠生成 19 2-4.3 主動式液珠生成 20 2-4.4 氣體生成液珠 20 2-4.5 包覆細胞 22 2-5 影像辨識 23 2-5.1 影像分割 24 2-5.2 特徵擷取 26 2-5.3 影像分類 29 第三章 研究方法 31 3-1 系統設計 32 3-1.1 基材選擇 32 3-1.2 流道設計 32 3-2 實驗流程 33 3-2.1 系統流程 33 3-2.2 實驗儀器與架設 35 3-2.3 檢體製備 36 3-2.4 影像處理方法 37 3-2.5 驗證方法 38 3-3 元件製作 38 3-3.1 母模製作 38 3-3.2 翻模與接合 43 第四章 結果與討論 46 4-1 液珠生成探討 46 4-1.1 流道幾何探討 46 4-1.2 流率探討 49 4-1.3 液珠尺寸探討 50 4-2 液珠分類機制探討 51 4-2.1 分類流道探討 52 4-2.2 氣動閥薄膜探討 54 4-2.3 氣動閥壓力探討 56 4-2.4 分類準確率小結 58 4-3 液珠包覆細胞探討 59 4-3.1 檢體濃度探討 59 4-3.2 蛋白質沾附探討 61 4-3.3 流道改質探討 62 4-3.4 標準微粒子包覆探討 65 4-4 影像辨識探討 66 4-4.1 液珠影像辨識探討 66 4-4.2 螢光訊號影像辨識探討 68 4-4.3 影像雜訊探討 70 4-4.4 螢光強度之影響 72 4-5 篩選效率探討 73 4-5.1 準確率探討 73 4-5.2 誤差原因探討 75 第五章 結論與未來工作 77 5-1 結論 77 5-2 未來工作 78 5-3 甘特圖 80 第六章 參考文獻 81 | |
dc.language.iso | zh-TW | |
dc.title | 可視化液珠型肌肉衛星細胞篩檢系統 | zh_TW |
dc.title | Visualizable Droplet-based Muscle Satellite Cell Sorting System | en |
dc.date.schoolyear | 109-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 楊瑞珍(Hsin-Tsai Liu),顏裕庭(Chih-Yang Tseng),葉思沂 | |
dc.subject.keyword | 細胞篩選,氣體生成液珠,包覆細胞,影像辨識,肌肉衛星細胞, | zh_TW |
dc.subject.keyword | cell sorting,liquid-in gas droplet generation,cell encapsulation,image recognition,muscle satellite cell, | en |
dc.relation.page | 89 | |
dc.identifier.doi | 10.6342/NTU202101460 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2021-07-21 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 機械工程學研究所 | zh_TW |
dc.date.embargo-lift | 2023-08-31 | - |
顯示於系所單位: | 機械工程學系 |
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