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Pimsoft 1

Manufactured by Perimed
Sourced in Sweden

PimSoft 1.3 is a software application designed for analysis and visualization of perfusion imaging data. It provides tools for processing, analyzing, and displaying perfusion-related measurements obtained from various imaging modalities.

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10 protocols using pimsoft 1

1

Laser Speckle Imaging for Cerebral Blood Flow

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Laser Speckle Contrast Imaging (PeriCam PSI System, Perimed, Sweden) was used to monitor real-time 2D CBF. Following the successful anesthetization of mice, the head was fixed with a stereoscopic localizer. The periosteum was separated following scalp opening and the skull was exposed. The skull surface was kept moist with normal saline, and the impurities on the skull surface were removed. The mice were then scanned with a stereo locator under a laser speckle imaging system to measure the CBF in both hemispheres and obtain images at a working distance of 10 cm from the skull surface. To assess changes in CBF, a computer program (PimSoft 1.3, Perimed AB, Sweden) was used to calculate the average perfusion level of the region of interest (ROI) in the right cortical infarcted area. The following formula was used to calculate the change in CBF: (CBF at each time point)/(preischemic CBF) × 100%. The sample size was 6.
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2

Laser Speckle Contrast Imaging of Skin Perfusion

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A Laser Speckle Contrast imager (Pericam PSI System, Perimed AB, Järfälla, Sweden) was used to measure skin perfusion. The system uses a divergent laser beam with a wavelength of 785 nm. Perfusion images were acquired by averaging data from 42 images taken in rapid succession (acquisition time 2 seconds), over 1-minute intervals. The image size was set to correspond to a 7 cm x 7 cm area of skin and the spatial resolution of the perfusion image was 0.2 mm/pixel at a measurement distance of 25 cm. The system was calibrated according to the manufacturer recommendations. Perfusion images were further analyzed by calculating mean perfusion levels in regions of interest using PIMsoft 1.3 (Perimed AB, Järfälla, Sweden).
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3

Monitoring Cerebral Blood Flow via Laser Speckle Imaging

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CBF was monitored using a real-time laser speckle blood flow imager (PeriCam PSI System, Stockholm, Sweden), as we reported previously [24 (link)]. In general terms, after fully exposing the skull, the mice were fixed on a stereotaxic instrument. Then, after disinfection of the skull surface, laser speckle images were obtained through a photo detector at a distance of 10 cm from the skull. The mean perfusion level in the region of interest was measured using PimSoft 1.3 (Perimed AB, Stockholm, Sweden) before and immediately, 24 h, 72 h after dMCAO.
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4

Laser Doppler and Laser Speckle Perfusion Imaging

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Laser Doppler measurements were made at a sample rate of 33 samples per second, and averaged over 1-min intervals using Perisoft for Windows, version 2.5.5 (Perimed AB, J€ arf€ alla, Sweden). The mean perfusion and the RBC concentration were measured with LSCI and PLSI, respectively, in five regions of both the irradiated and the non-irradiated breast: the upper inner quadrant (UIQ), lower inner quadrant (LIQ), upper outer quadrant (UOQ), lower outer quadrant (LOQ), and areola (A) (Figure 1). The mean perfusion in these regions was calculated by selecting regions of interest in the perfusion images using the LSCI system's software (PimSoft 1.3, Perimed AB, J€ arfalla, Sweden). Mean PLSI indices (RBC concentrations) were calculated from PLSI image files in the same manner as above using ImageJ (version 1.49t, US National Institutes of Health, Bethesda, MD). The inner quadrants and areola were measured from the frontal images, while the outer quadrants were measured from the lateral images.
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5

Microvascular Blood Perfusion Imaging

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Microcirculation in radiated skin and surrounding normal skin was measured with a laser speckle contrast imaging (LSCI) system (PeriCam PSI System, Perimed, Jāfālla, Sweden). The measurements were carried before operation. The patients rested at room temperature (25°C) during measurement. The distance between the laser head and a patient’s skin was 20 cm. Measurements were carried out in each location for at least 5 seconds with 5 Hz laser frequency. Recorded images were analyzed using the software system (PimSoft 1.2.2.0, Perimed, Jāfālla, Sweden). The average value of blood perfusion in each site was calculated.
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6

Keloid Perfusion and Segmentation

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Keloid perfusion was assessed by LSCI (PeriCam PSI System®; Perimed, Järfälla, Sweden), and Image analysis was undertaken using the manufacturer’s software (PimSoft 1.2.2.0®; Perimed, Järfälla, Sweden). The software produced both a blood-perfusion image and an intensity image of the scanned area. We collected blood-perfusion images and intensity images of the included patients. The measurement of blood perfusion was expressed in perfusion units (PUs, mL/100 g/min). Two plastic surgeons manually annotated the intensity images using “labelme” software [28 (link)]. Each gross photograph was segmented into two tissues, background (nonkeloid) and keloid (keloid). The segmented images will be used to supervise the training of an automated segmentation model for keloids.
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7

Perfusion Imaging Analysis Methods

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The output of Perimed LSCI and Moor Instruments LDPI was analyzed with PIMsoft 1.5 (Perimed AB), MoorLDI2‐BI Burn's Software Version 4.0, respectively.
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8

Laser Speckle Contrast Imaging Analysis

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All data in the text are given as mean ± SD. Images were analyzed using the LSCI system’s software (PimSoft 1.5, Perimed AB, Järfalla, Sweden). Regions of interest (ROI) were selected manually in the first image of each series. Then all subsequent images were checked to see if the selected area was still in the correct place and, if needed, corrections were made. One-way ANOVA was used to analyze the effect of measurement distance and angle. For the analysis of the effect of different speeds of motion using different absolute perfusion levels, two-way ANOVA were used. The relation between the speed of the tissue motion and the measured perfusion was analyzed using linear regression analysis. Statistical calculations were performed using GraphPad Prism version 6 for Windows (Graphpad Software, San Diego, CA, USA). A probability of less than 0.05 was accepted as significant.
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9

Laser Speckle Contrast Imaging Analysis

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All data in the text are given as mean (SD). Images were analyzed using the LSCI system's software (PimSoft 1.5, Perimed AB, Järfalla, Sweden). Regions of interest (ROI) were selected manually in the first image of each series. Then, the locations of ROI in subsequent images were verified and corrections were made as needed. The day-to-day and the site-tosite variability was analyzed using correlation analysis and with Bland-Altman plots. Normal distribution of the data was tested using D'Agostino & Pearson omnibus normality test. As the perfusion data obtained with different concentrations of MN was not normally distributed, differences between concentrations were analyzed with a Dunn's multiple comparisons test.
The data from different anatomical sites were normally distributed and were analyzed with a one-way ANOVA with multiple comparisons using the Tukey correction method. A twotailed paired Student's t-test was used to compare the difference in perfusion between the control and MN area. Statistical calculations were performed using GraphPad Prism version 6 for Windows (Graphpad Software, San Diego, CA, USA). A probability of less than 0.05 was accepted as significant.
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10

Quantifying Cerebral Blood Flow and Blood Pressure Responses

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Images were analyzed using Pimsoft software (PimSoft 1.5, Perimed AB, Järfalla, Sweden). The selection of ROIs was based on relative position to bregma to assure reproducibility between subjects. CBF data from regions of interest (ROI) was then exported to spike2 software for quantification. MAP data was analyzed with spike2 software (Cambridge Electronic Design, Cambridge, UK,version 6.15). CBF and MAP changes were measured for each stimulus intensity within a 30s window post-stimulus.
Responses amplitude was quantified as the peak value relative to the mean signal value of the 30 s artifact-free baseline prior to stimulus onset.
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