A microfluidic device to acquire high-magnification microphotographs of yeast cells

Background Yeast cell morphology was investigated to reveal the molecular mechanisms of cell morphogenesis and to identify key factors of other processes such as cell cycle progression. We recently developed a semi-automatic image processing program called CalMorph, which allows us to quantitatively...
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Autor*in:	Ohnuki, Shinsuke [verfasserIn] Nogami, Satoru Ohya, Yoshikazu

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2009

Schlagwörter:	Yeast Cell PDMS Microfluidic Device Wako Pure Chemical Industry Microfluidic Chip

Anmerkung:	© Ohnuki et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (

Übergeordnetes Werk:	Enthalten in: Cell division - London : BioMed Central, 2006, 4(2009), 1 vom: 24. März
Übergeordnetes Werk:	volume:4 ; year:2009 ; number:1 ; day:24 ; month:03

Links:	Volltext

DOI / URN:	10.1186/1747-1028-4-5

Katalog-ID:	SPR029413656

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520			\|a Background Yeast cell morphology was investigated to reveal the molecular mechanisms of cell morphogenesis and to identify key factors of other processes such as cell cycle progression. We recently developed a semi-automatic image processing program called CalMorph, which allows us to quantitatively analyze yeast cell morphology with the 501 parameters as biological traits and uncover statistical relationships between cell morphological phenotypes and genotypes. However, the current semi-automatic method is not suitable for morphological analysis of large-scale yeast mutants for the reliable prediction of gene functions because of its low-throughput especially at the manual image-acquiring process. Results In this study, we developed a microfluidic chip designed to acquire successive microscopic images of yeast cells suitable for CalMorph image analysis. With the microfluidic chip, the morphology of living cells and morphological changes that occur during the cell cycle were successfully characterized. Conclusion The microfluidic chip enabled us to acquire the images faster than the conventional method. We speculate that the use of microfluidic chip is effective in acquiring images of large-scale for automated analysis of yeast strains.
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allfields	10.1186/1747-1028-4-5 doi (DE-627)SPR029413656 (SPR)1747-1028-4-5-e DE-627 ger DE-627 rakwb eng Ohnuki, Shinsuke verfasserin aut A microfluidic device to acquire high-magnification microphotographs of yeast cells 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ohnuki et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Yeast cell morphology was investigated to reveal the molecular mechanisms of cell morphogenesis and to identify key factors of other processes such as cell cycle progression. We recently developed a semi-automatic image processing program called CalMorph, which allows us to quantitatively analyze yeast cell morphology with the 501 parameters as biological traits and uncover statistical relationships between cell morphological phenotypes and genotypes. However, the current semi-automatic method is not suitable for morphological analysis of large-scale yeast mutants for the reliable prediction of gene functions because of its low-throughput especially at the manual image-acquiring process. Results In this study, we developed a microfluidic chip designed to acquire successive microscopic images of yeast cells suitable for CalMorph image analysis. With the microfluidic chip, the morphology of living cells and morphological changes that occur during the cell cycle were successfully characterized. Conclusion The microfluidic chip enabled us to acquire the images faster than the conventional method. We speculate that the use of microfluidic chip is effective in acquiring images of large-scale for automated analysis of yeast strains. Yeast Cell (dpeaa)DE-He213 PDMS (dpeaa)DE-He213 Microfluidic Device (dpeaa)DE-He213 Wako Pure Chemical Industry (dpeaa)DE-He213 Microfluidic Chip (dpeaa)DE-He213 Nogami, Satoru aut Ohya, Yoshikazu aut Enthalten in Cell division London : BioMed Central, 2006 4(2009), 1 vom: 24. März (DE-627)512300607 (DE-600)2236097-9 1747-1028 nnns volume:4 year:2009 number:1 day:24 month:03 https://dx.doi.org/10.1186/1747-1028-4-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2009 1 24 03
spelling	10.1186/1747-1028-4-5 doi (DE-627)SPR029413656 (SPR)1747-1028-4-5-e DE-627 ger DE-627 rakwb eng Ohnuki, Shinsuke verfasserin aut A microfluidic device to acquire high-magnification microphotographs of yeast cells 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ohnuki et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Yeast cell morphology was investigated to reveal the molecular mechanisms of cell morphogenesis and to identify key factors of other processes such as cell cycle progression. We recently developed a semi-automatic image processing program called CalMorph, which allows us to quantitatively analyze yeast cell morphology with the 501 parameters as biological traits and uncover statistical relationships between cell morphological phenotypes and genotypes. However, the current semi-automatic method is not suitable for morphological analysis of large-scale yeast mutants for the reliable prediction of gene functions because of its low-throughput especially at the manual image-acquiring process. Results In this study, we developed a microfluidic chip designed to acquire successive microscopic images of yeast cells suitable for CalMorph image analysis. With the microfluidic chip, the morphology of living cells and morphological changes that occur during the cell cycle were successfully characterized. Conclusion The microfluidic chip enabled us to acquire the images faster than the conventional method. We speculate that the use of microfluidic chip is effective in acquiring images of large-scale for automated analysis of yeast strains. Yeast Cell (dpeaa)DE-He213 PDMS (dpeaa)DE-He213 Microfluidic Device (dpeaa)DE-He213 Wako Pure Chemical Industry (dpeaa)DE-He213 Microfluidic Chip (dpeaa)DE-He213 Nogami, Satoru aut Ohya, Yoshikazu aut Enthalten in Cell division London : BioMed Central, 2006 4(2009), 1 vom: 24. März (DE-627)512300607 (DE-600)2236097-9 1747-1028 nnns volume:4 year:2009 number:1 day:24 month:03 https://dx.doi.org/10.1186/1747-1028-4-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2009 1 24 03
allfields_unstemmed	10.1186/1747-1028-4-5 doi (DE-627)SPR029413656 (SPR)1747-1028-4-5-e DE-627 ger DE-627 rakwb eng Ohnuki, Shinsuke verfasserin aut A microfluidic device to acquire high-magnification microphotographs of yeast cells 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ohnuki et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Yeast cell morphology was investigated to reveal the molecular mechanisms of cell morphogenesis and to identify key factors of other processes such as cell cycle progression. We recently developed a semi-automatic image processing program called CalMorph, which allows us to quantitatively analyze yeast cell morphology with the 501 parameters as biological traits and uncover statistical relationships between cell morphological phenotypes and genotypes. However, the current semi-automatic method is not suitable for morphological analysis of large-scale yeast mutants for the reliable prediction of gene functions because of its low-throughput especially at the manual image-acquiring process. Results In this study, we developed a microfluidic chip designed to acquire successive microscopic images of yeast cells suitable for CalMorph image analysis. With the microfluidic chip, the morphology of living cells and morphological changes that occur during the cell cycle were successfully characterized. Conclusion The microfluidic chip enabled us to acquire the images faster than the conventional method. We speculate that the use of microfluidic chip is effective in acquiring images of large-scale for automated analysis of yeast strains. Yeast Cell (dpeaa)DE-He213 PDMS (dpeaa)DE-He213 Microfluidic Device (dpeaa)DE-He213 Wako Pure Chemical Industry (dpeaa)DE-He213 Microfluidic Chip (dpeaa)DE-He213 Nogami, Satoru aut Ohya, Yoshikazu aut Enthalten in Cell division London : BioMed Central, 2006 4(2009), 1 vom: 24. März (DE-627)512300607 (DE-600)2236097-9 1747-1028 nnns volume:4 year:2009 number:1 day:24 month:03 https://dx.doi.org/10.1186/1747-1028-4-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2009 1 24 03
allfieldsGer	10.1186/1747-1028-4-5 doi (DE-627)SPR029413656 (SPR)1747-1028-4-5-e DE-627 ger DE-627 rakwb eng Ohnuki, Shinsuke verfasserin aut A microfluidic device to acquire high-magnification microphotographs of yeast cells 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ohnuki et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Yeast cell morphology was investigated to reveal the molecular mechanisms of cell morphogenesis and to identify key factors of other processes such as cell cycle progression. We recently developed a semi-automatic image processing program called CalMorph, which allows us to quantitatively analyze yeast cell morphology with the 501 parameters as biological traits and uncover statistical relationships between cell morphological phenotypes and genotypes. However, the current semi-automatic method is not suitable for morphological analysis of large-scale yeast mutants for the reliable prediction of gene functions because of its low-throughput especially at the manual image-acquiring process. Results In this study, we developed a microfluidic chip designed to acquire successive microscopic images of yeast cells suitable for CalMorph image analysis. With the microfluidic chip, the morphology of living cells and morphological changes that occur during the cell cycle were successfully characterized. Conclusion The microfluidic chip enabled us to acquire the images faster than the conventional method. We speculate that the use of microfluidic chip is effective in acquiring images of large-scale for automated analysis of yeast strains. Yeast Cell (dpeaa)DE-He213 PDMS (dpeaa)DE-He213 Microfluidic Device (dpeaa)DE-He213 Wako Pure Chemical Industry (dpeaa)DE-He213 Microfluidic Chip (dpeaa)DE-He213 Nogami, Satoru aut Ohya, Yoshikazu aut Enthalten in Cell division London : BioMed Central, 2006 4(2009), 1 vom: 24. März (DE-627)512300607 (DE-600)2236097-9 1747-1028 nnns volume:4 year:2009 number:1 day:24 month:03 https://dx.doi.org/10.1186/1747-1028-4-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2009 1 24 03
allfieldsSound	10.1186/1747-1028-4-5 doi (DE-627)SPR029413656 (SPR)1747-1028-4-5-e DE-627 ger DE-627 rakwb eng Ohnuki, Shinsuke verfasserin aut A microfluidic device to acquire high-magnification microphotographs of yeast cells 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ohnuki et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Yeast cell morphology was investigated to reveal the molecular mechanisms of cell morphogenesis and to identify key factors of other processes such as cell cycle progression. We recently developed a semi-automatic image processing program called CalMorph, which allows us to quantitatively analyze yeast cell morphology with the 501 parameters as biological traits and uncover statistical relationships between cell morphological phenotypes and genotypes. However, the current semi-automatic method is not suitable for morphological analysis of large-scale yeast mutants for the reliable prediction of gene functions because of its low-throughput especially at the manual image-acquiring process. Results In this study, we developed a microfluidic chip designed to acquire successive microscopic images of yeast cells suitable for CalMorph image analysis. With the microfluidic chip, the morphology of living cells and morphological changes that occur during the cell cycle were successfully characterized. Conclusion The microfluidic chip enabled us to acquire the images faster than the conventional method. We speculate that the use of microfluidic chip is effective in acquiring images of large-scale for automated analysis of yeast strains. Yeast Cell (dpeaa)DE-He213 PDMS (dpeaa)DE-He213 Microfluidic Device (dpeaa)DE-He213 Wako Pure Chemical Industry (dpeaa)DE-He213 Microfluidic Chip (dpeaa)DE-He213 Nogami, Satoru aut Ohya, Yoshikazu aut Enthalten in Cell division London : BioMed Central, 2006 4(2009), 1 vom: 24. März (DE-627)512300607 (DE-600)2236097-9 1747-1028 nnns volume:4 year:2009 number:1 day:24 month:03 https://dx.doi.org/10.1186/1747-1028-4-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2009 1 24 03
language	English
source	Enthalten in Cell division 4(2009), 1 vom: 24. März volume:4 year:2009 number:1 day:24 month:03
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topic_facet	Yeast Cell PDMS Microfluidic Device Wako Pure Chemical Industry Microfluidic Chip
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authorswithroles_txt_mv	Ohnuki, Shinsuke @@aut@@ Nogami, Satoru @@aut@@ Ohya, Yoshikazu @@aut@@
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This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Yeast cell morphology was investigated to reveal the molecular mechanisms of cell morphogenesis and to identify key factors of other processes such as cell cycle progression. We recently developed a semi-automatic image processing program called CalMorph, which allows us to quantitatively analyze yeast cell morphology with the 501 parameters as biological traits and uncover statistical relationships between cell morphological phenotypes and genotypes. However, the current semi-automatic method is not suitable for morphological analysis of large-scale yeast mutants for the reliable prediction of gene functions because of its low-throughput especially at the manual image-acquiring process. 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author	Ohnuki, Shinsuke
spellingShingle	Ohnuki, Shinsuke misc Yeast Cell misc PDMS misc Microfluidic Device misc Wako Pure Chemical Industry misc Microfluidic Chip A microfluidic device to acquire high-magnification microphotographs of yeast cells
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topic_title	A microfluidic device to acquire high-magnification microphotographs of yeast cells Yeast Cell (dpeaa)DE-He213 PDMS (dpeaa)DE-He213 Microfluidic Device (dpeaa)DE-He213 Wako Pure Chemical Industry (dpeaa)DE-He213 Microfluidic Chip (dpeaa)DE-He213
topic	misc Yeast Cell misc PDMS misc Microfluidic Device misc Wako Pure Chemical Industry misc Microfluidic Chip
topic_unstemmed	misc Yeast Cell misc PDMS misc Microfluidic Device misc Wako Pure Chemical Industry misc Microfluidic Chip
topic_browse	misc Yeast Cell misc PDMS misc Microfluidic Device misc Wako Pure Chemical Industry misc Microfluidic Chip
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title	A microfluidic device to acquire high-magnification microphotographs of yeast cells
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title_full	A microfluidic device to acquire high-magnification microphotographs of yeast cells
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title_sort	microfluidic device to acquire high-magnification microphotographs of yeast cells
title_auth	A microfluidic device to acquire high-magnification microphotographs of yeast cells
abstract	Background Yeast cell morphology was investigated to reveal the molecular mechanisms of cell morphogenesis and to identify key factors of other processes such as cell cycle progression. We recently developed a semi-automatic image processing program called CalMorph, which allows us to quantitatively analyze yeast cell morphology with the 501 parameters as biological traits and uncover statistical relationships between cell morphological phenotypes and genotypes. However, the current semi-automatic method is not suitable for morphological analysis of large-scale yeast mutants for the reliable prediction of gene functions because of its low-throughput especially at the manual image-acquiring process. Results In this study, we developed a microfluidic chip designed to acquire successive microscopic images of yeast cells suitable for CalMorph image analysis. With the microfluidic chip, the morphology of living cells and morphological changes that occur during the cell cycle were successfully characterized. Conclusion The microfluidic chip enabled us to acquire the images faster than the conventional method. We speculate that the use of microfluidic chip is effective in acquiring images of large-scale for automated analysis of yeast strains. © Ohnuki et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
abstractGer	Background Yeast cell morphology was investigated to reveal the molecular mechanisms of cell morphogenesis and to identify key factors of other processes such as cell cycle progression. We recently developed a semi-automatic image processing program called CalMorph, which allows us to quantitatively analyze yeast cell morphology with the 501 parameters as biological traits and uncover statistical relationships between cell morphological phenotypes and genotypes. However, the current semi-automatic method is not suitable for morphological analysis of large-scale yeast mutants for the reliable prediction of gene functions because of its low-throughput especially at the manual image-acquiring process. Results In this study, we developed a microfluidic chip designed to acquire successive microscopic images of yeast cells suitable for CalMorph image analysis. With the microfluidic chip, the morphology of living cells and morphological changes that occur during the cell cycle were successfully characterized. Conclusion The microfluidic chip enabled us to acquire the images faster than the conventional method. We speculate that the use of microfluidic chip is effective in acquiring images of large-scale for automated analysis of yeast strains. © Ohnuki et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
abstract_unstemmed	Background Yeast cell morphology was investigated to reveal the molecular mechanisms of cell morphogenesis and to identify key factors of other processes such as cell cycle progression. We recently developed a semi-automatic image processing program called CalMorph, which allows us to quantitatively analyze yeast cell morphology with the 501 parameters as biological traits and uncover statistical relationships between cell morphological phenotypes and genotypes. However, the current semi-automatic method is not suitable for morphological analysis of large-scale yeast mutants for the reliable prediction of gene functions because of its low-throughput especially at the manual image-acquiring process. Results In this study, we developed a microfluidic chip designed to acquire successive microscopic images of yeast cells suitable for CalMorph image analysis. With the microfluidic chip, the morphology of living cells and morphological changes that occur during the cell cycle were successfully characterized. Conclusion The microfluidic chip enabled us to acquire the images faster than the conventional method. We speculate that the use of microfluidic chip is effective in acquiring images of large-scale for automated analysis of yeast strains. © Ohnuki et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
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title_short	A microfluidic device to acquire high-magnification microphotographs of yeast cells
url	https://dx.doi.org/10.1186/1747-1028-4-5
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author2	Nogami, Satoru Ohya, Yoshikazu
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A microfluidic device to acquire high-magnification microphotographs of yeast cells

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