PMID- 23042171
OWN - NLM
STAT- MEDLINE
DCOM- 20130422
LR  - 20211021
IS  - 1098-5336 (Electronic)
IS  - 0099-2240 (Print)
IS  - 0099-2240 (Linking)
VI  - 78
IP  - 24
DP  - 2012 Dec
TI  - Microscope-based imaging platform for large-scale analysis of oral biofilms.
PG  - 8703-11
LID - 10.1128/AEM.02416-12 [doi]
AB  - A microscopic method for noninvasively monitoring oral biofilms at the macroscale 
      was developed to describe the spatial distribution of biofilms of different 
      bacterial composition on bovine enamel surfaces (BES). For this purpose, oral 
      biofilm was grown in situ on BES that were fixed at approximal sites of 
      individual upper jaw acrylic devices worn by a volunteer for 3 or 5 days. 
      Eubacteria, Streptococcus spp., and Fusobacterium nucleatum were stained using 
      specific fluorescence in situ hybridization (FISH) probes. The resulting 
      fluorescence signals were subsequently tested by confocal laser scanning 
      microscopy (CLSM) and monitored by an automated wide-field microscope-based 
      imaging platform (ScanwedgeR). Automated image processing and data analysis were 
      conducted by microscope-associated software and followed by statistical 
      evaluation of the results. The full segmentation of biofilm images revealed a 
      random distribution of bacteria across the entire area of the enamel surfaces 
      examined. Significant differences in the composition of the microflora were 
      recorded across individual as well as between different enamel surfaces varying 
      from sparsely colonized (47.26%) after 3 days to almost full surface coverage 
      (84.45%) after 5 days. The enamel plates that were positioned at the back or in 
      the middle of the oral cavity were found to be more suitable for the examination 
      of biofilms up to 3 days old. In conclusion, automated microscopy combined with 
      the use of FISH can enable the efficient visualization and meaningful 
      quantification of bacterial composition over the entire sample surface. Due to 
      the possibility of automation, ScanwedgeR overcomes the technical limitations of 
      conventional CLSM.
FAU - Karygianni, L
AU  - Karygianni L
AD  - Department of Operative Dentistry and Periodontology, Albert Ludwigs University, 
      Freiburg, Germany.
FAU - Follo, M
AU  - Follo M
FAU - Hellwig, E
AU  - Hellwig E
FAU - Burghardt, D
AU  - Burghardt D
FAU - Wolkewitz, M
AU  - Wolkewitz M
FAU - Anderson, A
AU  - Anderson A
FAU - Al-Ahmad, A
AU  - Al-Ahmad A
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20121005
PL  - United States
TA  - Appl Environ Microbiol
JT  - Applied and environmental microbiology
JID - 7605801
SB  - IM
MH  - Animals
MH  - Automation, Laboratory
MH  - *Bacterial Physiological Phenomena
MH  - Biofilms/*growth & development
MH  - Cattle
MH  - Dental Enamel/*microbiology
MH  - Human Experimentation
MH  - Humans
MH  - Image Processing, Computer-Assisted/*methods
MH  - In Situ Hybridization, Fluorescence
MH  - Microscopy, Confocal/methods
MH  - Mouth/*microbiology
MH  - Photomicrography/*methods
PMC - PMC3502907
EDAT- 2012/10/09 06:00
MHDA- 2013/04/23 06:00
PMCR- 2013/06/01
CRDT- 2012/10/09 06:00
PHST- 2012/10/09 06:00 [entrez]
PHST- 2012/10/09 06:00 [pubmed]
PHST- 2013/04/23 06:00 [medline]
PHST- 2013/06/01 00:00 [pmc-release]
AID - AEM.02416-12 [pii]
AID - 02416-12 [pii]
AID - 10.1128/AEM.02416-12 [doi]
PST - ppublish
SO  - Appl Environ Microbiol. 2012 Dec;78(24):8703-11. doi: 10.1128/AEM.02416-12. Epub 
      2012 Oct 5.