A fast morphological reconstruction method of biological cells based on phase imaging

A simple and efficient morphological reconstruction method for biological cells based on quantitative phase microscopy is presented in this paper. Gradient algorithm is applied to determine the boundary of different parts of a sample and the boundary points are extracted to reconstruct the subsurfac...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Ji, Ying [verfasserIn] Li, Xiang [verfasserIn] Fu, Shuang [verfasserIn] Tang, Wenbo [verfasserIn] Xu, Yuanyuan [verfasserIn] Wang, Yawei [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Biological cell Fast morphological reconstruction Phase distribution Gradient

Übergeordnetes Werk:	Enthalten in: Optik - München : Elsevier, 2001, 200
Übergeordnetes Werk:	volume:200

DOI / URN:	10.1016/j.ijleo.2019.163402

Katalog-ID:	ELV003159825

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520			\|a A simple and efficient morphological reconstruction method for biological cells based on quantitative phase microscopy is presented in this paper. Gradient algorithm is applied to determine the boundary of different parts of a sample and the boundary points are extracted to reconstruct the subsurface of the sample. A neuronal model is investigated by simulation to demonstrate the efficiency of this method. And the surface morphology of a polystyrene microsphere as well as a red blood cell is reconstructed by this method based on optical experiments. The results agree well with expectations. It indicates that the method could apply to real-time identification of living cells with an obvious advantage of noninvasiveness and label free.
650		4	\|a Biological cell
650		4	\|a Fast morphological reconstruction
650		4	\|a Phase distribution
650		4	\|a Gradient
700	1		\|a Li, Xiang \|e verfasserin \|4 aut
700	1		\|a Fu, Shuang \|e verfasserin \|4 aut
700	1		\|a Tang, Wenbo \|e verfasserin \|4 aut
700	1		\|a Xu, Yuanyuan \|e verfasserin \|4 aut
700	1		\|a Wang, Yawei \|e verfasserin \|4 aut
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allfields	10.1016/j.ijleo.2019.163402 doi (DE-627)ELV003159825 (ELSEVIER)S0030-4026(19)31300-2 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Ji, Ying verfasserin aut A fast morphological reconstruction method of biological cells based on phase imaging 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A simple and efficient morphological reconstruction method for biological cells based on quantitative phase microscopy is presented in this paper. Gradient algorithm is applied to determine the boundary of different parts of a sample and the boundary points are extracted to reconstruct the subsurface of the sample. A neuronal model is investigated by simulation to demonstrate the efficiency of this method. And the surface morphology of a polystyrene microsphere as well as a red blood cell is reconstructed by this method based on optical experiments. The results agree well with expectations. It indicates that the method could apply to real-time identification of living cells with an obvious advantage of noninvasiveness and label free. Biological cell Fast morphological reconstruction Phase distribution Gradient Li, Xiang verfasserin aut Fu, Shuang verfasserin aut Tang, Wenbo verfasserin aut Xu, Yuanyuan verfasserin aut Wang, Yawei verfasserin aut Enthalten in Optik München : Elsevier, 2001 200 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:200 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 200
spelling	10.1016/j.ijleo.2019.163402 doi (DE-627)ELV003159825 (ELSEVIER)S0030-4026(19)31300-2 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Ji, Ying verfasserin aut A fast morphological reconstruction method of biological cells based on phase imaging 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A simple and efficient morphological reconstruction method for biological cells based on quantitative phase microscopy is presented in this paper. Gradient algorithm is applied to determine the boundary of different parts of a sample and the boundary points are extracted to reconstruct the subsurface of the sample. A neuronal model is investigated by simulation to demonstrate the efficiency of this method. And the surface morphology of a polystyrene microsphere as well as a red blood cell is reconstructed by this method based on optical experiments. The results agree well with expectations. It indicates that the method could apply to real-time identification of living cells with an obvious advantage of noninvasiveness and label free. Biological cell Fast morphological reconstruction Phase distribution Gradient Li, Xiang verfasserin aut Fu, Shuang verfasserin aut Tang, Wenbo verfasserin aut Xu, Yuanyuan verfasserin aut Wang, Yawei verfasserin aut Enthalten in Optik München : Elsevier, 2001 200 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:200 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 200
allfields_unstemmed	10.1016/j.ijleo.2019.163402 doi (DE-627)ELV003159825 (ELSEVIER)S0030-4026(19)31300-2 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Ji, Ying verfasserin aut A fast morphological reconstruction method of biological cells based on phase imaging 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A simple and efficient morphological reconstruction method for biological cells based on quantitative phase microscopy is presented in this paper. Gradient algorithm is applied to determine the boundary of different parts of a sample and the boundary points are extracted to reconstruct the subsurface of the sample. A neuronal model is investigated by simulation to demonstrate the efficiency of this method. And the surface morphology of a polystyrene microsphere as well as a red blood cell is reconstructed by this method based on optical experiments. The results agree well with expectations. It indicates that the method could apply to real-time identification of living cells with an obvious advantage of noninvasiveness and label free. Biological cell Fast morphological reconstruction Phase distribution Gradient Li, Xiang verfasserin aut Fu, Shuang verfasserin aut Tang, Wenbo verfasserin aut Xu, Yuanyuan verfasserin aut Wang, Yawei verfasserin aut Enthalten in Optik München : Elsevier, 2001 200 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:200 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 200
allfieldsGer	10.1016/j.ijleo.2019.163402 doi (DE-627)ELV003159825 (ELSEVIER)S0030-4026(19)31300-2 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Ji, Ying verfasserin aut A fast morphological reconstruction method of biological cells based on phase imaging 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A simple and efficient morphological reconstruction method for biological cells based on quantitative phase microscopy is presented in this paper. Gradient algorithm is applied to determine the boundary of different parts of a sample and the boundary points are extracted to reconstruct the subsurface of the sample. A neuronal model is investigated by simulation to demonstrate the efficiency of this method. And the surface morphology of a polystyrene microsphere as well as a red blood cell is reconstructed by this method based on optical experiments. The results agree well with expectations. It indicates that the method could apply to real-time identification of living cells with an obvious advantage of noninvasiveness and label free. Biological cell Fast morphological reconstruction Phase distribution Gradient Li, Xiang verfasserin aut Fu, Shuang verfasserin aut Tang, Wenbo verfasserin aut Xu, Yuanyuan verfasserin aut Wang, Yawei verfasserin aut Enthalten in Optik München : Elsevier, 2001 200 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:200 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 200
allfieldsSound	10.1016/j.ijleo.2019.163402 doi (DE-627)ELV003159825 (ELSEVIER)S0030-4026(19)31300-2 DE-627 ger DE-627 rda eng 620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl Ji, Ying verfasserin aut A fast morphological reconstruction method of biological cells based on phase imaging 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A simple and efficient morphological reconstruction method for biological cells based on quantitative phase microscopy is presented in this paper. Gradient algorithm is applied to determine the boundary of different parts of a sample and the boundary points are extracted to reconstruct the subsurface of the sample. A neuronal model is investigated by simulation to demonstrate the efficiency of this method. And the surface morphology of a polystyrene microsphere as well as a red blood cell is reconstructed by this method based on optical experiments. The results agree well with expectations. It indicates that the method could apply to real-time identification of living cells with an obvious advantage of noninvasiveness and label free. Biological cell Fast morphological reconstruction Phase distribution Gradient Li, Xiang verfasserin aut Fu, Shuang verfasserin aut Tang, Wenbo verfasserin aut Xu, Yuanyuan verfasserin aut Wang, Yawei verfasserin aut Enthalten in Optik München : Elsevier, 2001 200 Online-Ressource (DE-627)325791988 (DE-600)2040037-8 (DE-576)094480680 1618-1336 nnns volume:200 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2336 GBV_ILN_2522 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 33.18 Optik 33.38 Quantenoptik nichtlineare Optik 50.37 Technische Optik 53.54 Optoelektronik 53.75 Optische Nachrichtentechnik 42.03 Methoden und Techniken der Biologie AR 200
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topic_facet	Biological cell Fast morphological reconstruction Phase distribution Gradient
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authorswithroles_txt_mv	Ji, Ying @@aut@@ Li, Xiang @@aut@@ Fu, Shuang @@aut@@ Tang, Wenbo @@aut@@ Xu, Yuanyuan @@aut@@ Wang, Yawei @@aut@@
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author	Ji, Ying
spellingShingle	Ji, Ying ddc 620 bkl 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 misc Biological cell misc Fast morphological reconstruction misc Phase distribution misc Gradient A fast morphological reconstruction method of biological cells based on phase imaging
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topic_title	620 DE-600 33.18 bkl 33.38 bkl 50.37 bkl 53.54 bkl 53.75 bkl 42.03 bkl A fast morphological reconstruction method of biological cells based on phase imaging Biological cell Fast morphological reconstruction Phase distribution Gradient
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title	A fast morphological reconstruction method of biological cells based on phase imaging
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title_full	A fast morphological reconstruction method of biological cells based on phase imaging
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title_sort	a fast morphological reconstruction method of biological cells based on phase imaging
title_auth	A fast morphological reconstruction method of biological cells based on phase imaging
abstract	A simple and efficient morphological reconstruction method for biological cells based on quantitative phase microscopy is presented in this paper. Gradient algorithm is applied to determine the boundary of different parts of a sample and the boundary points are extracted to reconstruct the subsurface of the sample. A neuronal model is investigated by simulation to demonstrate the efficiency of this method. And the surface morphology of a polystyrene microsphere as well as a red blood cell is reconstructed by this method based on optical experiments. The results agree well with expectations. It indicates that the method could apply to real-time identification of living cells with an obvious advantage of noninvasiveness and label free.
abstractGer	A simple and efficient morphological reconstruction method for biological cells based on quantitative phase microscopy is presented in this paper. Gradient algorithm is applied to determine the boundary of different parts of a sample and the boundary points are extracted to reconstruct the subsurface of the sample. A neuronal model is investigated by simulation to demonstrate the efficiency of this method. And the surface morphology of a polystyrene microsphere as well as a red blood cell is reconstructed by this method based on optical experiments. The results agree well with expectations. It indicates that the method could apply to real-time identification of living cells with an obvious advantage of noninvasiveness and label free.
abstract_unstemmed	A simple and efficient morphological reconstruction method for biological cells based on quantitative phase microscopy is presented in this paper. Gradient algorithm is applied to determine the boundary of different parts of a sample and the boundary points are extracted to reconstruct the subsurface of the sample. A neuronal model is investigated by simulation to demonstrate the efficiency of this method. And the surface morphology of a polystyrene microsphere as well as a red blood cell is reconstructed by this method based on optical experiments. The results agree well with expectations. It indicates that the method could apply to real-time identification of living cells with an obvious advantage of noninvasiveness and label free.
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title_short	A fast morphological reconstruction method of biological cells based on phase imaging
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author2	Li, Xiang Fu, Shuang Tang, Wenbo Xu, Yuanyuan Wang, Yawei
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up_date	2024-07-06T18:41:41.684Z
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A fast morphological reconstruction method of biological cells based on phase imaging

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