Final Practical Report
Module –Atomic Force Microscopy for Bionanoscience (PHYC40560)
Student name – Bikramjit Bhattacharjee (Student ID -14201299)
Date of the experiment – 14/11/14
Date of report submission –
Amplitude modulation AFM imaging of amyloid β-protein fibrils in a liquid environment
Abstract – The Atomic Force Microscope (AFM) can be used to image and assess mechanical properties of various samples in a range of environments mirroring the physiological conditions for biological samples. The aim of this experiment was to use the AFM in the amplitude modulation (/tapping) mode [4] to image amyloid β-protein (25-35) (Aβ(25-35))fibrils, in a liquid environment (milli Q) water which was used as the imaging buffer. The experiment was
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2.2 – Calibration of the cantilever – 2.2 (a) - Determination of the spring constant of the AFM cantilever – For the triangular cantilever, the force/spring constant was evaluated by the thermal noise method [13] while for the rectangular cantilever (AIOAl), the Sader method [14],[15] was used by the IGOR software to calculate the same parameter. The methods are detailed below. 2.2 (a) – (i) – Thermal Noise Method - The spring constant and sensitivity of the above cantilever is calibrated using the thermal method. This essentially stems from the equipartition theorem which states that the thermal energy present in all terms in the Hamiltonian of a system that are quadratically dependent on a generalized co-ordinate is equal to kBT/2, where kB is the Boltzmann’s constant and T the absolute temperature in Kelvin. If one treats the cantilever as an ideal spring of constant k, a measurement of the thermal noise <x2> in its position allows the spring constant to be determined as k = kBT/<x2> (1)
Relation (1) is an idealization and a more physically accurate formula [16], is given
& { 2872(25$\%$)} & { 2499(22$\%$)} & { 5795(26$\%$)} & { 5100(23$\%$)}\\ $N_{\omega\to\pi^0\gamma}^{\circ}$ & { 4487(15$\%$)} & { 3590(12$\%$)} & { 1978(6$\%$)} & { 1721(5$\%$)} & { 5846(9$\%$)} & { 5145(8$\%$)} \\ \hline $BR^{measured}_{\omega\to\pi^0\gamma}$ & \textcolor{red}{ 1.07} & \textcolor{red}{ 0.78} & \textcolor{red}{ 0.52} & \textcolor{red}{ 0.43} & \textcolor{red}{ 0.73} & \textcolor{red}{ 0.61} \\ ($\%$) & \textcolor{red}{ (15$\%$)} & \textcolor{red}{ (11$\%$)} & \textcolor{red}{ (6$\%$)} & \textcolor{red}{ (5$\%$)} & \textcolor{red}{ (9$\%$)} & \textcolor{red}{ (8$\%$)} \\ \hline & \multicolumn{6}{c|} {\bf $\sigma_{dedp-sys}=\sigma^{av}_{rms}\times(1-\sigma_{fit-sys}^{rel})$ } \\ \hline \end{tabular} \caption[The standard deviation $\sigma^{av}_{rms}$ in ${N_{\omega\to\pi^0\gamma}}^{rec}$, ${N_{\omega\to\pi^0\gamma}}^{\circ}$ and $BR^{measured}_{\omega\to\pi^0\gamma}$ for the different energy-momentum conservation constraint are presented] { The standard deviation $\sigma^{av}_{rms}$ in ${N_{\omega\to\pi^0\gamma}}^{rec}$ and $BR^{measured}_{\omega\to\pi^0\gamma}$ for the different energy-momentum conservation
Before proceeding to our experiment, we made sure the voltage knob in the power supply is set to 0. Then, the sensor was inserted in the canter of the Helmholtz coil through the hole in the radius. To calibrate the sensor to 0, we clicked “start” in the window
Also, it is seen that although with the traditional sum rules analysis , one obtains almost zero value for form factor $C_3^{N \Delta}(Q^2)$, the Monte Carlo analysis shows that this form factor is consistent with significant non-zero values. In the case of $C_4^{N \Delta}(Q^2)$, although the traditional sum rules analysis leads to a value that is significantly away from
The numbers $N_{\omega}^{rec}$ and $N_{\omega\to\pi^0\gamma}^{rec}$, extracted from the different combinations for two energies, are plotted in Fig.~\ref{fitbr15sysin} and Fig.~\ref{fitbr15sysex}, respectively. The numbers are listed in Appendix~\ref{fitsysematicinclusve} for reference. The distributions are fitted with a constant fit to have the error estimate.
\begin{eqnarray*} d_2^{fBm} & = & \frac{\ln{\frac{S}{K}} + \frac{1}{2}(r ( T - t) - \frac{\sigma^2{( T^{2H}
In the next two paragraphs, I will show you the relationship
Rube Goldberg experiments are some of the most fun and interesting projects to make. For our project we had to have six different steps and make our marble fall into a cup. Lots of people like to make Rube Goldberg projects because it helps people to learn more about simple machines. Rube Goldberg was a man who created cartoons, was an engineer, author, and artist. He created many things and inspire many people.
Wang et al performed SMFS on a shallow trefoil knot protein, bovine carbonic anhydrase B, and stretched it to a tightened knot.(110) A figure-eightknotted protein, phytochrome, was stretched by Bornschlogl et al using SMFS based on atomic force microscopy (AFM) as well as SMD simulations.(106) The unfolding force of phytochrome was determined to be ~ 70 pN, which is not as high as many mechanically stable proteins such as I27 domain of human titin (~200 pN). In addition, both their experimental and simulation results revealed that the tightened figure-eight knot contains 17 to 19 amino acid residues as shown in Figure 1.11. Further discussion about the tightening of the knot can be found in chapter
The video on The Milgram Experiment shows a group of people who have the title as “teacher” who are being tested to see how they react while administering seemingly dangerous electricity voltage to someone who has the title as “learner”. The “learner” in the video is also an actor. He is pretending to be in an immense amount of pain as they administer the electricity. The other actor is a scientist.
This experiment is testing weather daisy seeds will grow faster in artificial light or sunlight .The purpose of this experiment is to see if the difference of light will affect the germination of a daisy. These pages of research will be explaining what this whole project means. From what soil will be in the daisies to what type of watt will be used in the lightbulb. This experiment is being tested because it is interesting to experiment the works of nature vs. man made products.
Another contemporary experiment conducted in 2009 by Jerry Burger, replicated the method of Milgram’s experiment, but instead adjusting the ethical issues that were identified in Milgram’s study. The ways in which Burger’s (2009) study ensured principles like nonmaleficence were not violated included utilising a screening process to exclude participants with any negative mental issues, emphasising multiple times that they could withdraw at any time and still receive remuneration and using a lower set of voltage shocks up to 150V unlike Milgram’s which shocked up to 450 volts (Milgram, 1963). To aid the participants psychological wellbeing, when the experiment had concluded the participant was informed that the person was not actually shocked
Stanley Milgram is an eminent researcher that created the obedience study. This study showed that people have a strong tendency to obey authority figures. Milgram gathers forty male volunteers for his study and informed each volunteer that the study is about the effects of punishment of learning. Milgram delegated each volunteer role as the teacher, and their job was to help the students to learn a list of word pairs. The teachers were to severely shock learners when questions were answered wrong.
Levy’s (2015) argument contains multiple flaws. The first flaw surrounds the example of Milgram’s Shock Experiment that he used. The experiment shows that people did follow the norm, but it does not show if the participants actions were outside of what they would normally do, which is an essential factor for situationism. If the participants would normally behave or engage in a way that led to criminal actions, then the example does not demonstrate its point: “ This kind of experiment cannot test whether the subject‘s action in the experiment correlates with any of her other actions. For example, we cannot say whether subjects who administer the full set of shocks in a Milgram-style experiment also walk past people slumped in doorways more often than subjects who refuse to administer all the shocks” (Taylor, 2010, p. 46).
After my Bachelor of Science in Physics at Emory, I worked as a research assistant as I investigated the components of cellular function using Escherichia coli as a model organism in Dr. Minsu Kim’s research laboratory. Through manipulation at the molecular level, (i.e., altering genes, proteins, and metabolites to induce a synthetic biological system) we characterized certain functions of the cells by first understanding each individual component. To understand the relationship between each component and a certain function of the cell, we used quantitative experiments to bridge the biological processes at the molecular and cellular level using Biophysics techniques and mathematical modeling. My investigation included growing cells in minimal media with different strains of NCM 3722 E. coli, and I conducted viability assays to determine the death rate of cells after they reached stationary phase. Using minimal media, which is carbon and nitrogen free, we can manipulate the amount of carbon or nitrogen source, hence, the cell density in each culture.