V.M. Burlakov, R. Taylor, J. Koerner, N. Emptage  Biophysical Journal 

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Presentation transcript:

Analysis of Microscopic Parameters of Single-Particle Trajectories in Neurons  V.M. Burlakov, R. Taylor, J. Koerner, N. Emptage  Biophysical Journal  Volume 99, Issue 5, Pages 1368-1376 (September 2010) DOI: 10.1016/j.bpj.2010.06.021 Copyright © 2010 Biophysical Society Terms and Conditions

Figure 1 Mean square displacement is plotted as a function of time (symbols) for two simulated trajectories (insets). The trajectories were simulated with Din = 0.3 μm2/s and V = 0. Solid lines show the least-square approximations obtained using Eq. 2. Curve 1 has positive curvature, which, according to Eq. 2. means that V2 > 0, whereas curve 2 shows negative curvature, indicating that V2 < 0. Biophysical Journal 2010 99, 1368-1376DOI: (10.1016/j.bpj.2010.06.021) Copyright © 2010 Biophysical Society Terms and Conditions

Figure 2 The probability distribution for the diffusion coefficients, D (a), and velocities, V (b), obtained from 105 simulated trajectories, each of 1000 points, determined by the MD-MSF and MSD(t) methods. Curves 1 in a and 4 and 7 in b were obtained using the MD-MSF method. Curves 2 in a and 5 in b (n = 10) and curves 3 in a and 6 in b (n = 100) were obtained by the MSD(t) method. Trajectories were simulated using two sets of input parameters: Din = 0.3 μm2/s, Vx,in =Vy,in = 0 (curves 1–3 and 7 in b) and Din = 0.3 μm2/s, Vx,in =Vy,in =1/2μm/s (curves 2–4 in b). The data presented in a do not depend on velocity values. Curve 7 in b shows half of the probability distribution for Vx =Vy > 0 obtained by the MD-MSF method. Biophysical Journal 2010 99, 1368-1376DOI: (10.1016/j.bpj.2010.06.021) Copyright © 2010 Biophysical Society Terms and Conditions

Figure 3 The relative uncertainties (96% confidence intervals) for the diffusion coefficients, D (a), and velocities, V (b and c), plotted as a function of the number of points, N. Curves 1 were obtained using MD-MSF, whereas curves 2 and 3 were obtained using the MSD(t) method with n = 10 and 100, respectively. Curves in a and b were calculated for Din = 0.3 μm2/s, Vx,in =Vy,in = 0 and those in c for Din = 0.3 μm2/s, Vx,in =Vy,in =1/2μm/s. Biophysical Journal 2010 99, 1368-1376DOI: (10.1016/j.bpj.2010.06.021) Copyright © 2010 Biophysical Society Terms and Conditions

Figure 4 Time-dependent diffusion coefficients, D (a), velocity, V (b), f(D) distributions (c), and f(V) distributions (d) are calculated for a simulated trajectory containing 105 points using the MD-MSF (red lines) and MSD(t) (blue lines) methods. The parameters for each time point were calculated from MD, MSD, and MSF by averaging over N = 1000 trajectory points. Black lines indicate the input parameter values. Biophysical Journal 2010 99, 1368-1376DOI: (10.1016/j.bpj.2010.06.021) Copyright © 2010 Biophysical Society Terms and Conditions

Figure 5 Same as for Fig. 4, but calculated for a short trajectory containing 6000 points. Biophysical Journal 2010 99, 1368-1376DOI: (10.1016/j.bpj.2010.06.021) Copyright © 2010 Biophysical Society Terms and Conditions

Figure 6 QD images are overlain onto a transmitted light image of cultured hippocampal neurons. The image shows QD-labeled EphB2-receptors (red) for both a single frame (A) and a maximum intensity projection of 6000 frames (B). Receptors have both localized trajectories (blue rectangles) and trajectories that extend over large distances (green rectangles). Scale bar, 10 μm. Biophysical Journal 2010 99, 1368-1376DOI: (10.1016/j.bpj.2010.06.021) Copyright © 2010 Biophysical Society Terms and Conditions

Figure 7 Experimental trajectories of QD-labeled EphB2-receptors in hippocampal neurons consisting of 6000 particle position points acquired at a frequency of 30 Hz. These trajectories illustrate localized and restricted motion (a–c) and highly anisotropic delocalized motion (d–f). Biophysical Journal 2010 99, 1368-1376DOI: (10.1016/j.bpj.2010.06.021) Copyright © 2010 Biophysical Society Terms and Conditions

Figure 8 Distributions of diffusion coefficients, f(D), obtained for trajectories a–f in Fig. 7 using MSD(t) (gray) and MD-MSF (black) methods for N = 1000 and n = 100. All distributions are normalized on 1. Biophysical Journal 2010 99, 1368-1376DOI: (10.1016/j.bpj.2010.06.021) Copyright © 2010 Biophysical Society Terms and Conditions

Figure 9 (a) The cumulative distribution of diffusion coefficients, f(D), from the normalized sum of 44 individual distributions obtained for N = 1000 using the MD-MSF (black) and MSD(t) method with n = 100 (open circles) and the MSD(t) method with n = 3 (gray). (b) The distribution histogram of diffusion coefficients obtained by calculating a single average diffusion coefficient for each of the 44 trajectories. Results obtained using the MD-MSF method are shown by open bars, and those obtained using MSD(t) with n = 100 are shown by gray bars. Biophysical Journal 2010 99, 1368-1376DOI: (10.1016/j.bpj.2010.06.021) Copyright © 2010 Biophysical Society Terms and Conditions

Figure 10 The cumulative distribution for velocity, f(V), from the normalized sum of 44 individual distributions. The cumulative distributions of velocities from the normalized sum of 44 individual distributions obtained for N = 1000 using the MD-MSF method (black) and MSD(t) method with n = 100 (gray) and MSD(t) with n = 3 (open circles). The scale of y axes for curve 1 should be multiplied by a factor of 5. Biophysical Journal 2010 99, 1368-1376DOI: (10.1016/j.bpj.2010.06.021) Copyright © 2010 Biophysical Society Terms and Conditions