2001
DOI: 10.1006/fstl.2000.0739
|View full text |Cite
|
Sign up to set email alerts
|

Visualization of Food Structure by Confocal Laser Scanning Microscopy (CLSM)

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

2
54
0
1

Year Published

2007
2007
2018
2018

Publication Types

Select...
5
5

Relationship

0
10

Authors

Journals

citations
Cited by 154 publications
(57 citation statements)
references
References 15 publications
2
54
0
1
Order By: Relevance
“…It is a method, which can provide detailed morphology by visualizing clear fluorescent images of structures of a biosystem 26 . Images of thick sections of specimen can be obtained 4 . CSLM allows staining of specific compounds, and hence the distribution of these compounds through the kernel can be more apparent then when other microscopy techniques are used.…”
Section: Introductionmentioning
confidence: 99%
“…It is a method, which can provide detailed morphology by visualizing clear fluorescent images of structures of a biosystem 26 . Images of thick sections of specimen can be obtained 4 . CSLM allows staining of specific compounds, and hence the distribution of these compounds through the kernel can be more apparent then when other microscopy techniques are used.…”
Section: Introductionmentioning
confidence: 99%
“…It is a method that can provide detailed morphology by visualizing clear images of structures of a bio system 20 . Optical sections through thick sections of a specimen can be obtained 4 . CSLM allows staining of specific compounds and hence the distribution of these compounds through the kernel can be more apparent compared to other microscopy techniques.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, confocal laser scanning microscopy (CLSM) could be regarded as a potential tool for understanding the effect of processing and the infl uence on bio-macromolecules. A microstructural change in instant noodles during production has been studied using CLSM to monitor microstructural differences (Dürrenberger, et al, 2001;Lalana, 2001;Sangpring, et al, 2015).…”
Section: Microscopic Imagining Of Noodlesmentioning
confidence: 99%