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Title: Hyperspectral imaging of microalgae using two-photon excitation.

Abstract

A considerable amount research is being conducted on microalgae, since microalgae are becoming a promising source of renewable energy. Most of this research is centered on lipid production in microalgae because microalgae produce triacylglycerol which is ideal for biodiesel fuels. Although we are interested in research to increase lipid production in algae, we are also interested in research to sustain healthy algal cultures in large scale biomass production farms or facilities. The early detection of fluctuations in algal health, productivity, and invasive predators must be developed to ensure that algae are an efficient and cost-effective source of biofuel. Therefore we are developing technologies to monitor the health of algae using spectroscopic measurements in the field. To do this, we have proposed to spectroscopically monitor large algal cultivations using LIDAR (Light Detection And Ranging) remote sensing technology. Before we can deploy this type of technology, we must first characterize the spectral bio-signatures that are related to algal health. Recently, we have adapted our confocal hyperspectral imaging microscope at Sandia to have two-photon excitation capabilities using a chameleon tunable laser. We are using this microscope to understand the spectroscopic signatures necessary to characterize microalgae at the cellular level prior to using thesemore » signatures to classify the health of bulk samples, with the eventual goal of using of LIDAR to monitor large scale ponds and raceways. By imaging algal cultures using a tunable laser to excite at several different wavelengths we will be able to select the optimal excitation/emission wavelengths needed to characterize algal cultures. To analyze the hyperspectral images generated from this two-photon microscope, we are using Multivariate Curve Resolution (MCR) algorithms to extract the spectral signatures and their associated relative intensities from the data. For this presentation, I will show our two-photon hyperspectral imaging results on a variety of microalgae species and show how these results can be used to characterize algal ponds and raceways.« less

Authors:
; ;  [1]; ; ; ; ;
  1. (Sandia National Laboratories, Livermore, CA)
Publication Date:
Research Org.:
Sandia National Laboratories
Sponsoring Org.:
USDOE
OSTI Identifier:
1030351
Report Number(s):
SAND2010-7342C
TRN: US201124%%139
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Federation of Analytical Chemistry and Spectroscopy Societies (FACSS 2010) Conference held October 20, 2010 in Raliegh-Durham, NC.
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; ALGAE; ALGORITHMS; BIOMASS; CHEMISTRY; DETECTION; EXCITATION; FLUCTUATIONS; LASERS; LIPIDS; MICROSCOPES; MONITORS; OPTICAL RADAR; PONDS; PRODUCTION; PRODUCTIVITY; REMOTE SENSING; RESOLUTION; SPECTROSCOPY; WAVELENGTHS

Citation Formats

Sinclair, Michael B., Melgaard, David Kennett, Reichardt, Thomas A., Timlin, Jerilyn Ann, Garcia, Omar Fidel, Luk, Ting Shan, Jones, Howland D. T., and Collins, Aaron M. Hyperspectral imaging of microalgae using two-photon excitation.. United States: N. p., 2010. Web.
Sinclair, Michael B., Melgaard, David Kennett, Reichardt, Thomas A., Timlin, Jerilyn Ann, Garcia, Omar Fidel, Luk, Ting Shan, Jones, Howland D. T., & Collins, Aaron M. Hyperspectral imaging of microalgae using two-photon excitation.. United States.
Sinclair, Michael B., Melgaard, David Kennett, Reichardt, Thomas A., Timlin, Jerilyn Ann, Garcia, Omar Fidel, Luk, Ting Shan, Jones, Howland D. T., and Collins, Aaron M. Fri . "Hyperspectral imaging of microalgae using two-photon excitation.". United States. doi:.
@article{osti_1030351,
title = {Hyperspectral imaging of microalgae using two-photon excitation.},
author = {Sinclair, Michael B. and Melgaard, David Kennett and Reichardt, Thomas A. and Timlin, Jerilyn Ann and Garcia, Omar Fidel and Luk, Ting Shan and Jones, Howland D. T. and Collins, Aaron M.},
abstractNote = {A considerable amount research is being conducted on microalgae, since microalgae are becoming a promising source of renewable energy. Most of this research is centered on lipid production in microalgae because microalgae produce triacylglycerol which is ideal for biodiesel fuels. Although we are interested in research to increase lipid production in algae, we are also interested in research to sustain healthy algal cultures in large scale biomass production farms or facilities. The early detection of fluctuations in algal health, productivity, and invasive predators must be developed to ensure that algae are an efficient and cost-effective source of biofuel. Therefore we are developing technologies to monitor the health of algae using spectroscopic measurements in the field. To do this, we have proposed to spectroscopically monitor large algal cultivations using LIDAR (Light Detection And Ranging) remote sensing technology. Before we can deploy this type of technology, we must first characterize the spectral bio-signatures that are related to algal health. Recently, we have adapted our confocal hyperspectral imaging microscope at Sandia to have two-photon excitation capabilities using a chameleon tunable laser. We are using this microscope to understand the spectroscopic signatures necessary to characterize microalgae at the cellular level prior to using these signatures to classify the health of bulk samples, with the eventual goal of using of LIDAR to monitor large scale ponds and raceways. By imaging algal cultures using a tunable laser to excite at several different wavelengths we will be able to select the optimal excitation/emission wavelengths needed to characterize algal cultures. To analyze the hyperspectral images generated from this two-photon microscope, we are using Multivariate Curve Resolution (MCR) algorithms to extract the spectral signatures and their associated relative intensities from the data. For this presentation, I will show our two-photon hyperspectral imaging results on a variety of microalgae species and show how these results can be used to characterize algal ponds and raceways.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Oct 01 00:00:00 EDT 2010},
month = {Fri Oct 01 00:00:00 EDT 2010}
}

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