Picture of a 12 mm pathlength centerpiece printed of ABS-like resin MicroFine Green.

Sedimentation velocity data of BSA at 50,000 rpm collected with this centerpiece installed into a standard cell assembly without gaskets are shown in Fig 3B.</p

Sedimentation coefficient distributions from a rectangular cell.

Sedimentation coefficient distributions calculated from the data in Fig 4 for rectangular (magenta) and sectorial (blue) geometry.</p

Radial concentration distribution in a sedimentation equilibrium experiment with enhanced green fluorescent protein in a “prime gray” photopolymer centerpiece.

<p>Data were acquired with the absorbance detection sequentially at rotor speeds of 15,000 rpm (purple), 24,000 rpm (blue), and 35,000 rpm (cyan) (symbols, only every 5^th data point shown). A global model (lines) results in an apparent molar mass of 29.7 kDa with a root-mean-square deviation (rmsd) of 0.0032 OD₄₈₉, and residuals as shown in the lower plot.</p

Temporal evolution of radial concentration profiles in a sedimentation velocity experiment with bovine serum albumin in a “prime gray” photopolymer centerpiece.

<p>Panel A: Absorbance data acquired at a rotor speeds of 50,000 rpm at a series of time points (symbols, only every 3^rd data point of every 2^nd scan shown, with color temperature indicating progress of time). The <i>c</i>(<i>s</i>) fit (lines) results in an rmsd of 0.0065 OD₂₈₀, with the residuals shown in the small plots as residuals bitmap and superposition. Panel B: The corresponding <i>c</i>(<i>s</i>) distribution (magenta), and for comparison the <i>c</i>(<i>s</i>) distribution from a control in the same run using a standard Epon centerpiece (black); microgreen (green); Xtreme white (blue dashed); in-house clear (cyan dotted).</p

Fluorescence optical data in a 3D printed carbonate centerpiece.

<p>A centerpiece featuring a 3 mm deep sector-shaped well at the top was used, with filling and venting holes, and an embossed seal. The focal depth of the fluorescence optics was 2.0 mm. (A) Shown are sedimentation profiles acquired with 561 nm excitation for 46 nM mCherry [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0155201#pone.0155201.ref057" target="_blank">57</a>] dissolved in phosphate buffered saline (dots), and best-fit c(s) sedimentation coefficient distribution with adjustments for characteristic signals of fluorescence detection [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0155201#pone.0155201.ref056" target="_blank">56</a>] (solid lines). The plot appended below shows the residuals of the fit. (B) Corresponding sedimentation coefficient distribution showing a main peak at 2.68 S and diffusional boundary broadening corresponding to a species of 26.9 kDa.</p

Sedimentation velocity experiment in rectangular cell.

<p>Sedimentation velocity analysis of bovine serum albumin sedimenting at 50,000 rpm in acrylic centerpieces with a sector-shaped (A) and rectangular shaped (B) solution column. The protein sample was identical in both. The upper panel shows the sedimentation boundaries (points, for clarity, only every 2^nd data point of every 2^nd scan is shown), along with the best-fit <i>c</i>(<i>s</i>) profiles (solid lines). Below are the residuals of the fit as bitmap and overlay plot. The <i>c</i>(<i>s</i>) distribution for both data sets are shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0155201#pone.0155201.g005" target="_blank">Fig 5</a>.</p

Data_Sheet_1_Reliability of a Novel Video-Based Method for Assessing Age-Related Changes in Upper Limb Kinematics.ZIP

Monitoring age-related changes in motor function can be used to identify deviations that represent underlying diseases for which early diagnosis is often paramount for efficacious, interventional therapies. Currently, the availability of cost-effective and reliable diagnostic tools capable of routine monitoring is limited. Adequate diagnostic systems are needed to identify, monitor and distinguish early subclinical symptoms of neurological diseases from normal aging-associated changes. Herein, we describe the development, initial validation and reliability of the Hand-Arm Movement Monitoring System (HAMMS), a video-based data acquisition system built using a programmable, versatile platform for acquiring temporal and spatial metrics of hand and arm movements. A healthy aging population of 111 adults were used to evaluate the HAMMS via a repetitive motion test of changing target size. The test required participants to move a fiducial on their hand between two targets presented on a video monitor. The test-retest reliability based on Intraclass Correlation Coefficient (ICCs) for the system ranged from 0.56 to 0.87 and the Linear Correlation Coefficients (LCCs) ranged from 0.58 to 0.87. Average speed, average acceleration, speed error and center offset all demonstrated a positive correlation with age. Using an intertarget path of hand motion, we observed an age-dependent increase in the average number of points outside the most direct motion path, indicating a reduction in hand-arm movement control with age. The reliability, flexibility and programmability of the HAMMS makes this low cost, video-based platform an effective tool for evaluating longitudinal changes in hand-arm related movements and a potential diagnostic device for neurological diseases where hand-arm movements are affected.</p

Presentation_1_Reliability of a Novel Video-Based Method for Assessing Age-Related Changes in Upper Limb Kinematics.PDF

Monitoring age-related changes in motor function can be used to identify deviations that represent underlying diseases for which early diagnosis is often paramount for efficacious, interventional therapies. Currently, the availability of cost-effective and reliable diagnostic tools capable of routine monitoring is limited. Adequate diagnostic systems are needed to identify, monitor and distinguish early subclinical symptoms of neurological diseases from normal aging-associated changes. Herein, we describe the development, initial validation and reliability of the Hand-Arm Movement Monitoring System (HAMMS), a video-based data acquisition system built using a programmable, versatile platform for acquiring temporal and spatial metrics of hand and arm movements. A healthy aging population of 111 adults were used to evaluate the HAMMS via a repetitive motion test of changing target size. The test required participants to move a fiducial on their hand between two targets presented on a video monitor. The test-retest reliability based on Intraclass Correlation Coefficient (ICCs) for the system ranged from 0.56 to 0.87 and the Linear Correlation Coefficients (LCCs) ranged from 0.58 to 0.87. Average speed, average acceleration, speed error and center offset all demonstrated a positive correlation with age. Using an intertarget path of hand motion, we observed an age-dependent increase in the average number of points outside the most direct motion path, indicating a reduction in hand-arm movement control with age. The reliability, flexibility and programmability of the HAMMS makes this low cost, video-based platform an effective tool for evaluating longitudinal changes in hand-arm related movements and a potential diagnostic device for neurological diseases where hand-arm movements are affected.</p