Cross-correlation analysis to quantify relative spatial distributions of fat and protein in super-resolution microscopy images of dairy gels

Zachary J. Glover*, Anne Højmark Bisgaard, Ulf Andersen, Megan J. Povey, Jonathan R. Brewer, Adam Cohen Simonsen

*Kontaktforfatter for dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

The advent of super-resolution microscopy allows microstructures of foods to be explored in new depths, which when coupled with quantitative image analysis can provide a powerful analytical tool. Herein, a methodology is presented and applied to use a 2D spatial cross-correlation analysis to investigate the relative spatial arrangement of protein and fat in acid induced whole milk gels where the milk is either non-homogenised or has been homogenised at either 10 or 25 MPa. Two-channel images were taken using super-resolution Stimulated Emission Depletion (STED) microscopy and confocal microscopy. A term has been derived to extract the typical distance from the fat droplet surface and to the local maximum protein distribution. The fat droplet size is determined through 2D spatial autocorrelation analysis. Methods of analysis are applied to global images and to region specific analysis focussing on individual fat droplets. Cross-correlation analysis has been empirically validated using generated images with precise spatial features corresponding to the features of interest in true microscopy images, over appropriate length scales. The protein microstructure, fat droplet size and distances between the fat droplets and protein network are characterised. There are significantly different distances between the fat droplets and protein network in the homogenised samples compared to the non-homogenised sample. The extracted separation distances are below the diffraction limit of light, highlighting the utility of super-resolution imaging.

OriginalsprogEngelsk
Artikelnummer105225
TidsskriftFood Hydrocolloids
Vol/bind97
Antal sider11
ISSN0268-005X
DOI
StatusUdgivet - dec. 2019

Fingeraftryk

Dairies
Oils and fats
Spatial distribution
Microscopy
microscopy
dairies
Microscopic examination
Gels
Fats
gels
spatial distribution
Proteins
droplets
lipids
proteins
Spatial Analysis
droplet size
microstructure
image analysis
Stimulated emission

Citer dette

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title = "Cross-correlation analysis to quantify relative spatial distributions of fat and protein in super-resolution microscopy images of dairy gels",
abstract = "The advent of super-resolution microscopy allows microstructures of foods to be explored in new depths, which when coupled with quantitative image analysis can provide a powerful analytical tool. Herein, a methodology is presented and applied to use a 2D spatial cross-correlation analysis to investigate the relative spatial arrangement of protein and fat in acid induced whole milk gels where the milk is either non-homogenised or has been homogenised at either 10 or 25 MPa. Two-channel images were taken using super-resolution Stimulated Emission Depletion (STED) microscopy and confocal microscopy. A term has been derived to extract the typical distance from the fat droplet surface and to the local maximum protein distribution. The fat droplet size is determined through 2D spatial autocorrelation analysis. Methods of analysis are applied to global images and to region specific analysis focussing on individual fat droplets. Cross-correlation analysis has been empirically validated using generated images with precise spatial features corresponding to the features of interest in true microscopy images, over appropriate length scales. The protein microstructure, fat droplet size and distances between the fat droplets and protein network are characterised. There are significantly different distances between the fat droplets and protein network in the homogenised samples compared to the non-homogenised sample. The extracted separation distances are below the diffraction limit of light, highlighting the utility of super-resolution imaging.",
keywords = "2D spatial autocorrelation analysis, 2D spatial cross-correlation analysis, Region of interest analysis, Stimulated emission depletion (STED) microscopy, Super-resolution microscopy",
author = "Glover, {Zachary J.} and Bisgaard, {Anne H{\o}jmark} and Ulf Andersen and Povey, {Megan J.} and Brewer, {Jonathan R.} and Simonsen, {Adam Cohen}",
year = "2019",
month = "12",
doi = "10.1016/j.foodhyd.2019.105225",
language = "English",
volume = "97",
journal = "Food Hydrocolloids",
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publisher = "Elsevier",

}

Cross-correlation analysis to quantify relative spatial distributions of fat and protein in super-resolution microscopy images of dairy gels. / Glover, Zachary J.; Bisgaard, Anne Højmark; Andersen, Ulf; Povey, Megan J.; Brewer, Jonathan R.; Simonsen, Adam Cohen.

I: Food Hydrocolloids, Bind 97, 105225, 12.2019.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Cross-correlation analysis to quantify relative spatial distributions of fat and protein in super-resolution microscopy images of dairy gels

AU - Glover, Zachary J.

AU - Bisgaard, Anne Højmark

AU - Andersen, Ulf

AU - Povey, Megan J.

AU - Brewer, Jonathan R.

AU - Simonsen, Adam Cohen

PY - 2019/12

Y1 - 2019/12

N2 - The advent of super-resolution microscopy allows microstructures of foods to be explored in new depths, which when coupled with quantitative image analysis can provide a powerful analytical tool. Herein, a methodology is presented and applied to use a 2D spatial cross-correlation analysis to investigate the relative spatial arrangement of protein and fat in acid induced whole milk gels where the milk is either non-homogenised or has been homogenised at either 10 or 25 MPa. Two-channel images were taken using super-resolution Stimulated Emission Depletion (STED) microscopy and confocal microscopy. A term has been derived to extract the typical distance from the fat droplet surface and to the local maximum protein distribution. The fat droplet size is determined through 2D spatial autocorrelation analysis. Methods of analysis are applied to global images and to region specific analysis focussing on individual fat droplets. Cross-correlation analysis has been empirically validated using generated images with precise spatial features corresponding to the features of interest in true microscopy images, over appropriate length scales. The protein microstructure, fat droplet size and distances between the fat droplets and protein network are characterised. There are significantly different distances between the fat droplets and protein network in the homogenised samples compared to the non-homogenised sample. The extracted separation distances are below the diffraction limit of light, highlighting the utility of super-resolution imaging.

AB - The advent of super-resolution microscopy allows microstructures of foods to be explored in new depths, which when coupled with quantitative image analysis can provide a powerful analytical tool. Herein, a methodology is presented and applied to use a 2D spatial cross-correlation analysis to investigate the relative spatial arrangement of protein and fat in acid induced whole milk gels where the milk is either non-homogenised or has been homogenised at either 10 or 25 MPa. Two-channel images were taken using super-resolution Stimulated Emission Depletion (STED) microscopy and confocal microscopy. A term has been derived to extract the typical distance from the fat droplet surface and to the local maximum protein distribution. The fat droplet size is determined through 2D spatial autocorrelation analysis. Methods of analysis are applied to global images and to region specific analysis focussing on individual fat droplets. Cross-correlation analysis has been empirically validated using generated images with precise spatial features corresponding to the features of interest in true microscopy images, over appropriate length scales. The protein microstructure, fat droplet size and distances between the fat droplets and protein network are characterised. There are significantly different distances between the fat droplets and protein network in the homogenised samples compared to the non-homogenised sample. The extracted separation distances are below the diffraction limit of light, highlighting the utility of super-resolution imaging.

KW - 2D spatial autocorrelation analysis

KW - 2D spatial cross-correlation analysis

KW - Region of interest analysis

KW - Stimulated emission depletion (STED) microscopy

KW - Super-resolution microscopy

U2 - 10.1016/j.foodhyd.2019.105225

DO - 10.1016/j.foodhyd.2019.105225

M3 - Journal article

VL - 97

JO - Food Hydrocolloids

JF - Food Hydrocolloids

SN - 0268-005X

M1 - 105225

ER -