Cell death monitoring using quantitative optical coherence tomography methods

2011 ◽  
Author(s):  
Golnaz Farhat ◽  
Victor X. D. Yang ◽  
Michael C. Kolios ◽  
Gregory J. Czarnota
Keyword(s):  
Cell Death ◽  
Optical Coherence Tomography ◽  
Optical Coherence

scholarly journals Detecting cell death with optical coherence tomography and envelope statistics

2011 ◽  
Vol 16 (2) ◽  
pp. 026017 ◽  
Author(s):  
Golnaz Farhat ◽  
Victor X. D. Yang ◽  
Gregory J. Czarnota ◽  
Michael C. Kolios
Keyword(s):  
Cell Death ◽  
Optical Coherence Tomography ◽  
Optical Coherence

Optical coherence tomography speckle decorrelation for detecting cell death

2011 ◽  
Author(s):  
Golnaz Farhat ◽  
Adrian Mariampillai ◽  
Victor X. D. Yang ◽  
Gregory J. Czarnota ◽  
Michael C. Kolios
Keyword(s):  
Cell Death ◽  
Optical Coherence Tomography ◽  
Optical Coherence

scholarly journals Development Of Dynamic Light Scattering Optical Coherence Tomography Methods For Detecting Cell Death

2021 ◽  
Author(s):  
Nico Joseph John Arezza
Keyword(s):  
Cell Death ◽  
Optical Coherence Tomography ◽  
Light Scattering ◽  
Dynamic Light Scattering ◽  
Exponential Decay ◽  
Morphological Changes ◽  
Imaging Modality ◽  
Optical Coherence ◽  
Cross Sectional ◽  
Single Exponential

Dynamic light scattering (DLS) techniques can provide information about the quantity, size, and motion of light scatterers within a volume based on temporal fluctuations in its light scattering profile. In DLS, autocorrelation functions (ACFs) are computed from light intensity vs time signals acquired from optical imaging setups. A parameter known as the decorrelation time is computed from each ACF and is inversely related to the average motion speed of scatterers within the imaging volume. Optical coherence tomography is an imaging modality that generates 2D cross-sectional images based on light backscattered from a sample, and the combination of DLS with OCT is known as dynamic light scattering optical coherence tomography (DLS-OCT). Previously, DLS-OCT has been used to detect apoptosis, a form of programmed cell death, in non-adherent leukemia cells. Cells undergoing apoptosis experience predictable morphological changes that results in an increase in intracellular motion, and therefore a decrease in decorrelation time. We applied DLS-OCT methods to quantify the decorrelation times in adherent breast cancer cell pellets that were either untreated, treated with 20 ng/mL paclitaxel for 24 or 48 hours, or deprived of media for 24 or 48 hours. The mean decorrelation times in the paclitaxel-treated and nutrient deprived groups were significantly lower than in the untreated cells (p<0.05), suggestive of increased intracellular motion due to morphological cellular changes associated with cell death. We also investigated a new model to fit to ACFs generated by DLS-OCT of cell pellets. Typically, ACFs are fit to single exponential decay curves. We developed a model that expresses the ACFs from in vitro experiments as a sum of multiple exponential decay curves using an algorithm known as CONTIN. The curves produced by CONTIN fitted the experimental data much better than the single exponential decay fits. We speculate that the CONTIN fits, each of which resembled a superposition of three exponential decay functions, may result from light scattered from three different types of scatterers within cells, such as lysosomes, mitochondria, and nuclei.

scholarly journals Development Of Dynamic Light Scattering Optical Coherence Tomography Methods For Detecting Cell Death

2021 ◽  
Author(s):  
Nico Joseph John Arezza
Keyword(s):  
Cell Death ◽  
Optical Coherence Tomography ◽  
Light Scattering ◽  
Dynamic Light Scattering ◽  
Exponential Decay ◽  
Morphological Changes ◽  
Imaging Modality ◽  
Optical Coherence ◽  
Cross Sectional ◽  
Single Exponential

Dynamic light scattering (DLS) techniques can provide information about the quantity, size, and motion of light scatterers within a volume based on temporal fluctuations in its light scattering profile. In DLS, autocorrelation functions (ACFs) are computed from light intensity vs time signals acquired from optical imaging setups. A parameter known as the decorrelation time is computed from each ACF and is inversely related to the average motion speed of scatterers within the imaging volume. Optical coherence tomography is an imaging modality that generates 2D cross-sectional images based on light backscattered from a sample, and the combination of DLS with OCT is known as dynamic light scattering optical coherence tomography (DLS-OCT). Previously, DLS-OCT has been used to detect apoptosis, a form of programmed cell death, in non-adherent leukemia cells. Cells undergoing apoptosis experience predictable morphological changes that results in an increase in intracellular motion, and therefore a decrease in decorrelation time. We applied DLS-OCT methods to quantify the decorrelation times in adherent breast cancer cell pellets that were either untreated, treated with 20 ng/mL paclitaxel for 24 or 48 hours, or deprived of media for 24 or 48 hours. The mean decorrelation times in the paclitaxel-treated and nutrient deprived groups were significantly lower than in the untreated cells (p<0.05), suggestive of increased intracellular motion due to morphological cellular changes associated with cell death. We also investigated a new model to fit to ACFs generated by DLS-OCT of cell pellets. Typically, ACFs are fit to single exponential decay curves. We developed a model that expresses the ACFs from in vitro experiments as a sum of multiple exponential decay curves using an algorithm known as CONTIN. The curves produced by CONTIN fitted the experimental data much better than the single exponential decay fits. We speculate that the CONTIN fits, each of which resembled a superposition of three exponential decay functions, may result from light scattered from three different types of scatterers within cells, such as lysosomes, mitochondria, and nuclei.

1086: Cystoscopic Optical Coherence Tomography in Diagnosis and Management of Clinical Bladder Tumors

2007 ◽  
Vol 177 (4S) ◽  
pp. 358-359 ◽  
Author(s):  
Christopher S. Lee ◽  
Alek Mishail ◽  
Jason M. Kim ◽  
Alexander Kirshenbaum ◽  
Howard L. Adler ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Bladder Tumors ◽  
Diagnosis And Management

1227: Optical Coherence Tomography-Guided Surgery of Bladder Cancer

2006 ◽  
Vol 175 (4S) ◽  
pp. 395-395
Author(s):  
Nancy J. Tresser ◽  
Elena V. Zagaynova ◽  
Olga S. Streltsova ◽  
Natalia D. Gladkova ◽  
Vladislav A. Kamensky ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Guided Surgery
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