Abstract
In the study of the functionality of the Olfactory Bulb (OB), the recording
of images can be of utility to achieve better comprehension
of its mechanisms. This process of image recording is not easy, and
specific methodologies must be developed, both from the preparative
aspects at a tissue level and from microscopy image recording. The
information obtained in this way provides not only spatial information,
concerning to the OB parts active during the sensing stimulus.
Additionally, it can provide temporal information related with this
one, if the data acquisition tool is fast enough. With the development
of microscope spectrometers, the use of Data Processing methods
commonly used in chemometrics such bilinear and three-way modelling
have experimented an increase on its application onto this specific
kind of data. The expansion in this field has been followed by the
development of more generic image processing applications based on
these methods, and their further application to chemical problems.
In this work, it is presented the application of data processing methods
such Multiway Principal Component Analysis (MPCA) and
Multivariate Curve Resolution (MCR) to different series of images,
recorded after the stimulation of the OB from frogs (Rana temporaria)
stained using a voltage-sensitive dye with different odorants. The
response of these stimulus was recorded using a fast CCD device attached
to a epifluorescent microscope, to follow the response in real
time. The results obtained present both techniques as a diagnostic
tool to evaluate the temporal evolution of the signal after the stimulus, to discriminate if there exist different sources of oscillation
and if it is possible to relate these sources of oscillation with zones of
the image corresponding to glomeruli.
of images can be of utility to achieve better comprehension
of its mechanisms. This process of image recording is not easy, and
specific methodologies must be developed, both from the preparative
aspects at a tissue level and from microscopy image recording. The
information obtained in this way provides not only spatial information,
concerning to the OB parts active during the sensing stimulus.
Additionally, it can provide temporal information related with this
one, if the data acquisition tool is fast enough. With the development
of microscope spectrometers, the use of Data Processing methods
commonly used in chemometrics such bilinear and three-way modelling
have experimented an increase on its application onto this specific
kind of data. The expansion in this field has been followed by the
development of more generic image processing applications based on
these methods, and their further application to chemical problems.
In this work, it is presented the application of data processing methods
such Multiway Principal Component Analysis (MPCA) and
Multivariate Curve Resolution (MCR) to different series of images,
recorded after the stimulation of the OB from frogs (Rana temporaria)
stained using a voltage-sensitive dye with different odorants. The
response of these stimulus was recorded using a fast CCD device attached
to a epifluorescent microscope, to follow the response in real
time. The results obtained present both techniques as a diagnostic
tool to evaluate the temporal evolution of the signal after the stimulus, to discriminate if there exist different sources of oscillation
and if it is possible to relate these sources of oscillation with zones of
the image corresponding to glomeruli.
Original language | English |
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Title of host publication | Chemical Senses |
Pages | E33-E34 |
Number of pages | 2 |
Volume | 31 |
Edition | 8 |
DOIs | |
Publication status | Published - 1 Oct 2006 |
Event | 17th Congress of the European Chemoreception Research Organization - Granada, Spain Duration: 4 Sept 2006 → 8 Sept 2006 |
Conference
Conference | 17th Congress of the European Chemoreception Research Organization |
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Abbreviated title | ECRO 2006 |
Country/Territory | Spain |
City | Granada |
Period | 4/09/06 → 8/09/06 |