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<p>Using LUDOX CL-X as a single point reference allowed us to obtain a ratiometric conversion factor to transform absorbance data into a standard OD600 measurement. This is crucial to ensure that plate reader measurements are not volume dependent. After this calibration part we obtained a radiometric conversion factor (Tab. 2) which will be used in further Interlab study measurements.</p> | <p>Using LUDOX CL-X as a single point reference allowed us to obtain a ratiometric conversion factor to transform absorbance data into a standard OD600 measurement. This is crucial to ensure that plate reader measurements are not volume dependent. After this calibration part we obtained a radiometric conversion factor (Tab. 2) which will be used in further Interlab study measurements.</p> | ||
− | <p>Tab. 2 | + | <p><strong>Tab. 2</strong> LUDOX CL-X measurement. Obtained ratiometric conversion factor is 3,419</p> |
<table> | <table> | ||
<thead> | <thead> | ||
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</p> | </p> | ||
<p> Fig. 1 </p> | <p> Fig. 1 </p> | ||
− | <p>Fig. 1 LUDOX CL-X measurement. Obtained ratiometric conversion factor is 3,419.</p> | + | <p><strong>Fig. 1</strong> LUDOX CL-X measurement. Obtained ratiometric conversion factor is 3,419.</p> |
<p></p> | <p></p> | ||
<p> Fig. 2 </p> | <p> Fig. 2 </p> | ||
− | <p>Fig. 2 Particle standard curve generated by measuring the absorbance of serial dilutions of silica microspheres (known amount of particles per volume) displayed in a log scale to demonstrate a linear relationship between particle count per volume and absorbance.</p> | + | <p><strong>Fig. 2</strong> Particle standard curve generated by measuring the absorbance of serial dilutions of silica microspheres (known amount of particles per volume) displayed in a log scale to demonstrate a linear relationship between particle count per volume and absorbance.</p> |
<p>During this calibration part we obtained two particle standard curves which are important for proper cell measurement. However, we can observe a curve in the log scale graph (Fig. 1), although it should have a 1:1 slope. We assume that this inconsistency could have been due to pipetting errors or an oversaturated detector. | <p>During this calibration part we obtained two particle standard curves which are important for proper cell measurement. However, we can observe a curve in the log scale graph (Fig. 1), although it should have a 1:1 slope. We assume that this inconsistency could have been due to pipetting errors or an oversaturated detector. | ||
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<p></p> | <p></p> | ||
<p> Fig. 3 </p> | <p> Fig. 3 </p> | ||
− | <p>Fig. 3 Standard curve of fluorescein generated by measuring the fluorescence of serial dilution stock (µM). Fluorescence is plotted against the fluorescein concentration.</p> | + | <p><strong>Fig. 3</strong> Standard curve of fluorescein generated by measuring the fluorescence of serial dilution stock (µM). Fluorescence is plotted against the fluorescein concentration.</p> |
<p> Fig. 4 </p> | <p> Fig. 4 </p> | ||
− | <p>Fig. 4 A standard curve of fluorescein generated by measuring the fluorescence of serial dilution stock (uM). Fluorescence is plotted against the fluorescein concentration on a logarithmic scale. | + | <p><strong>Fig. 4</strong> A standard curve of fluorescein generated by measuring the fluorescence of serial dilution stock (uM). Fluorescence is plotted against the fluorescein concentration on a logarithmic scale. |
</p> | </p> | ||
<p>During this calibration part we generated a standard curve of fluorescein. Standard curves (linear and on a logarithmic scale) have a 1:1 slope which ensures us that there were no significant mistakes during this calibration part and the data can be used for cell measurement. This allows us to successfully convert cell based readings to an equivalent fluorescein concentration.</p> | <p>During this calibration part we generated a standard curve of fluorescein. Standard curves (linear and on a logarithmic scale) have a 1:1 slope which ensures us that there were no significant mistakes during this calibration part and the data can be used for cell measurement. This allows us to successfully convert cell based readings to an equivalent fluorescein concentration.</p> | ||
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<p></p> | <p></p> | ||
<p> Fig. 5 </p> | <p> Fig. 5 </p> | ||
− | <p>Fig. 5 Graph comparing the raw Abs600 prior incubation and at hour 6 for each colony using each control/device</p> | + | <p><strong>Fig. 5</strong> Graph comparing the raw Abs600 prior incubation and at hour 6 for each colony using each control/device</p> |
<p></p> | <p></p> | ||
<p> Fig. 6 </p> | <p> Fig. 6 </p> | ||
− | <p>Fig. 6 Graph comparing the raw fluorescence prior to incubation and at hour 6 for each colony using each control/device</p> | + | <p><strong>Fig. 6 </strong>Graph comparing the raw fluorescence prior to incubation and at hour 6 for each colony using each control/device</p> |
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− | <p>Tab. 3 | + | <p><strong>Tab. 3</strong> Colony forming units (CFU) per 1 mL of an OD600 = 0.1culture</p> |
<p>Tab. 3</p> | <p>Tab. 3</p> | ||
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− | + | </p> | |
</tbody> | </tbody> |
Revision as of 11:34, 17 October 2018
InterLab
Studying Fluorescence
The goal of this year’s InterLab Study was to identify and minimize the sources of systematic variability in fluorescence measurements by normalizing to absolute cell count or colony-forming units (CFUs) instead of optical density (OD).
Participating in the fifth iGEM InterLab Study was a great opportunity to start this year’s competition as well as acquire some valuable knowledge which we implemented into practice during the project.