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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 | 宋孔彬(Kung-Bin Sung) | |
dc.contributor.author | Fong-Jheng Lin | en |
dc.contributor.author | 林豐正 | zh_TW |
dc.date.accessioned | 2021-07-11T14:36:19Z | - |
dc.date.available | 2022-08-01 | |
dc.date.copyright | 2017-08-31 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017-08-18 | |
dc.identifier.citation | B. J. Bain, 'Blood sampling and blood film preparation and examination,'
Blood Cells: A Practical Guide, Fifth Edition, 1-16 (2007). 2. M. Buttarello and M. Plebani, 'Automated blood cell counts,' American journal of clinical pathology 130(1), 104-116 (2008). 3. B. F. Rodak, G. A. Fritsma, and E. Keohane, Hematology: clinical principles and applications (Elsevier Health Sciences, 2013). 4. 2015台大生醫電資所謝朝茂碩士論文-三維折射率顯微鏡應用於定量式分析癌細胞之細胞週期與白血球之分類 5. Park, Y., et al., Label-free analysis and identification of white blood cell population using optical diffraction tomography. Asia Communications and Photonics Conference. Optical Society of America, 2015. 6. Vozarova, B., et al., High white blood cell count is associated with a worsening of insulin sensitivity and predicts the development of type 2 diabetes. Diabetes, 2002. 51(2): p. 455-461. 7. Scott Brock, R., et al., Effect of detailed cell structure on light scattering distribution: FDTD study of a B-cell with 3D structure constructed from confocal images. Journal of Quantitative Spectroscopy and Radiative Transfer, 2006. 102(1): p. 25-36. 8. Drezek, R., et al., Light scattering from cervical cells throughout neoplastic progression: influence of nuclear morphology, DNA content, and chromatin texture. Journal of Biomedical Optics, 2003. 8(1): p. 7-16. 9. Yoon, J., et al., Label-free characterization of white blood cells by measuring 3D refractive index maps. arXiv preprint arXiv:1505.02609, 2015. 10. Y. Liu, et al., 'Elastic backscattering spectroscopic microscopy,' Opt. Lett., vol. 30, pp. 2445-2447, 2005. 11. V. Backman, et al., 'Detection of preinvasive cancer cells,' Nature, vol. 406, pp. 35-36, 2000. 12. T. T. Wu and J. Y. Qu, 'Assessment of the relative contribution of cellular components to the acetowhitenin{g effect in cell cultures and suspensions using elastic light-scattering spectroscopy,' Appl. Opt., vol. 46, pp. 4834-4842,2007. 13. E. Alarousu, Lowcoherence interferometry and optical coherence tomography in paper measurements:Ouluuniversity press, 2006. 14. M. Brezinski, Optical Coherence Tomography Principles and Applications: Elsevier, 2006. 15. H. C. v. d. Hulst, Light Scattering by Small Particles: Dover, 1981 16. Hsu, W.-C., et al. Investigating the backscattering characteristics of individual normal and cancerous cells based on experimentally determined three-dimensional refractive index distributions. in Photonics Asia. 2012. International Society for Optics and Photonics. 17. Qiu, L., et al., Multispectral scanning during endoscopy guides biopsy of dysplasia in Barrett's esophagus. Nat Med, 2010. 16(5): p. 603-606. 18. B. W. Pogue and M. S. Patterson, 'Review of tissue simulating phantoms for optical spectroscopy, imaging and dosimetry,' Journal of Biomedical Optics, vol. 11, p. 041102, 2006. 19. 巢國山, '利用一個脈衝波的有限差分時域法來模擬寬波長範圍的細胞散 射光.' 20. H. C. van de Hulst, Light Scattering by Small Particles (Dover Publications, Inc., Mineola, N.Y., 1981). 21. G.-S. Chao and K.-B. Sung, 'Investigating the spectral characteristics of backscattering from heterogeneous spherical nuclei using broadband finite- difference time-domain simulations,' Journal of biomedical optics 15(1), 015007-015007-015006 (2010). 22. Hsu, W.-C., et al., Tomographic diffractive microscopy of living cells based on a common-path configuration. Optics Letters, 2014. 39(7): p. 2210-2213. 23. A. Hsiao, M. Hunter, C. Greiner, S. Gupta, and I. Georgakoudi, 'Noninvasive identification of subcellular organization and nuclear morphology features associated with leukemic cells using light-scattering spectroscopy,' Journal of biomedical optics 16(3), 037007-037007-037009 (2011). 24. C. Greiner, M. Hunter, P. Huang, F. Rius, and I. Georgakoudi, 'Confocal backscattering spectroscopy for leukemic and normal blood cell discrimination,' Cytometry Part A 79(10), 866-873 (2011). 25. 台大生醫電資所黃信祥碩士論文-利用三維折射率顯微術應用於定量式分析海洋性貧血 26. Daniels, V. G., Wheater, P. R., & Burkitt, H.G. (1979). Functional histology: A text and colour atlas. Edinburgh: Churchill Livingstone. ISBN 0-443-01657-7 27. Handin, Robert I.; Samuel E. Lux; Thomas P. Stossel (2003). Blood: Principles and Practice of Hematology (2nd ed.). Philadelphia: Lippincott Williams and Wilkins. p. 471. ISBN 9780781719933 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/77867 | - |
dc.description.abstract | 白血球在人的身體中扮演著極為重要的角色,包含作為免疫系統以對抗病原體,並有良好的防禦機制。不同的白血球也有不同的型態,去對抗不同的病原體與疾病。因此如何區分不同型態的白血球,以及不同白血球型態具有那些可比較的參數,便是一個很重要的課題。
目前臨床上定量人體內各種類白血球的主要方法是使用全血計測器(Complete Blood Count, CBC),必須抽血且需要大型儀器。因此本研究以三維折射率顯微鏡觀察白血球的型態與折射率分佈,希望利用逆散射光譜的強度與週期性震盪來區分不同種的白血球,評估未來將此技術開發達成活體血球計數之潛力。目前先試著分辨三種主要的白血球:淋巴球Lymphocyte,嗜中性白血球Neutrophil,單核球Monocyte。三種主要白血球的從三維折射率分佈,代入FDTD數值模擬程式分析血球逆散射光譜,評估從光譜區分不同種類白血球計算得到的逆散射光譜的可行性,初步結果顯示淋巴球的震盪週期與其他兩種白血球明顯不同,且和Mie theory比對可以估計淋巴球的尺寸,而嗜中性白血球由於折射率明顯較高,其逆散射強度約為其他兩種白血球的5~10倍,因此我們預測可以利用逆散射光譜將三種白血球做區分。 在此理論基礎下,建造一個可量測細胞逆散射的光學系統架構,直接量測三種白血球的逆散射,在不同波長下的震盪頻率以及其逆散射強度,以期獲得更多可以區分白血球的實際資訊。 | zh_TW |
dc.description.abstract | White blood cells (WBCs) play main roles in defending the host against harmful pathogens and disease conditions including autoimmune diseases , neurodegenerative diseases and cancer. Various subtypes of WBCs have been characterized to play different roles in the pathophysiology of diseases. Therefore, accounting the number of WBC in specific subtypes is important. We have developed common-path tomographic diffractive microscopy (cTDM) to acquire three-dimensional (3D) refractive index (RI) mappings of WBC without staining, thus getting morphological information of the cells when they are close to their natural state. Three main subtypes of WBC were analyzed, including monocyte, neutrophil and lymphocyte.
We also analyzed the total phase integrated over the projected area of individual WBC, which is proportional to the dry mass. The scattering properties of WBC were obtained from 3D RI tomograms using the finite-difference time-domain (FDTD) method to demonstrate the feasibility of classifying the three subtypes of WBC based on their backscattering spectra. The FDTD simulation results indicated that backscattering characteristics of lymphocytes, monocytes and neutrophils are different from each other. Go a step further, we set a optical system to measure backscattering spectrum from WBCs directly. The results also indicated the possibility of classifying the three types of WBC based on backscattering measurements by spectral intensity and oscillation frequency because neutrophils has granular distribution in nucleus, monocytes has larger volume than the other two. | en |
dc.description.provenance | Made available in DSpace on 2021-07-11T14:36:19Z (GMT). No. of bitstreams: 1 ntu-106-R01945016-1.pdf: 2019306 bytes, checksum: a783e1433129365702d9f3520d2e0d15 (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | 口試委員審定書......................................................i
致謝...................................................ii 中文摘要...............................................iii 英文摘要................................................iv 目錄....................................................v 圖表目錄...............................................vii 表格目錄................................................ix 第一章 緒論.............................................1 1.1 前言............................................1 1.2 研究動機.........................................1 1.3 研究問題.........................................3 1.4 論文架構.........................................5 第二章 理論基礎.........................................6 2.1 光的散射.........................................6 2.2 米氏定律 (Mie theory) ...........................8 2.3 共光路系統 (Common-path system) ................10 2.4 有限差分時域法 (Finite difference time domain) .15 第三章 實驗設計與目的...................................17 3.1 白血球樣本配置..................................17 3.2 利用共光路架構拍攝白血球的相位影像................19 3.3 FDTD白血球模擬..................................20 3.4 光散射光譜架構介紹..............................21 3.5 光散射光路校正方法..............................23 第四章 白血球影像分析與FDTD模擬逆散射光譜.................25 4.1 白血球折射率與直徑分布...........................25 4.2 單顆白血球內部折射率分布.........................27 4.3 FDTD逆散射光譜分析..............................28 第五章 實驗設計與結果討論................................38 5.1 光散射光譜系統之驗證.............................38 5.1.1 光散射光譜標準樣本備製...........................38 5.1.2 散射光譜分析方法................................39 5.1.3 與理論值比對...................................40 5.2 白血球實驗.....................................41 5.2.1 樣本基質設計....................................41 5.2.2 量測白血球逆散射光譜.............................42 第六章 綜合討論與結論....................................44 6.1 白血球折射率與直徑分布探討 44 6.2 單科白血球內部折射率分布探討 44 6.3 FDTD模擬白血球逆散射光譜探討 44 6.4 測量白血球逆散射實驗探討 45 參考文獻................................................46 | |
dc.language.iso | zh-TW | |
dc.title | 利用三維折射率顯微術與逆散射光譜區分白血球種類 | zh_TW |
dc.title | Using three-dimensional refractive-index microscopy and backscattering spectroscopy to classify white blood cells | en |
dc.type | Thesis | |
dc.date.schoolyear | 105-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 駱遠(Yuan Luo),林祐霆(You-Ting Lin) | |
dc.subject.keyword | 嗜中性球,淋巴球,單核球,三維折射率顯微術,時域有限差分法,逆散射, | zh_TW |
dc.subject.keyword | neutrophil,lymphocyte,monocyte,three-dimensional refractive index microscopy,Finite-Difference Time-Domain,backscattering, | en |
dc.relation.page | 47 | |
dc.identifier.doi | 10.6342/NTU201701591 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2017-08-18 | |
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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