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7 protocols using iplab

1

Quantifying F-Actin and Cell Spread

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Fixed cells stained with Texas-red-conjugated phalloidin were subjected to imaging analysis under an Olympus X-81 fluorescence microscope. Images were acquired from a CoolSNAP HQ2 14-bit CCD camera (Photometrics) with identical parameters, and were similarly processed using the IPlab (BD Biosciences) and CellSens (Olympus Life Science) software package. We quantified the relative F-actin level following an established protocol [55 (link)]. Briefly, processed images were imported into ImageJ, and background was subtracted from each image. We then carefully outlined each cell by hand, and measured the integrated pixel density of each cell, which generated the average F-actin content per cell. We also measured the area occupied by each cell, which was shown as the average spread cell area.
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2

Quantification of Postsynaptic Endplate Morphology

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For quantification of postsynaptic endplate morphology, cultures were digitally photographed using a wide-field fluorescence microscope equipped with a broad focal plane lens (Leica Microsystems, Bannockburn, IL, USA) attached to a digital camera (C4742; Hamamatsu, Japan). Synapses were only quantified if the captured imaged accurately reflected the entire three-dimensional structure of the synapse. Captured images were analyzed for areas using IPLab (Version 4.0; BD Biosciences) or ImageJ software. All representative images are shown as collapsed z-stacks acquired using an LSM510 laser scanning confocal microscope (Zeiss Microimaging, Thornwood, NY, USA) and managed using Zen 2009 software (Zeiss Microimaging).
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3

Quantitative mRNA detection using FISH

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Images were acquired on an Olympus BX61 epi-fluorescence microscope with an UPlanApo 60x, 1.35 numerical aperture oil immersion objective (Olympus). X-Cite 120 PC (EXFO) light source was used for illumination with filter sets 31000 (DAPI), 41001 (Cell-tracker Green), and SP-103v1 (CAL Fluor 610) (Chroma Technology). Vertical stacks of 30 images with a Z step size of 0.2 μm were acquired using a CoolSNAP HQ camera (Photometrics) with 6.4 μm pixel size CCD. IPLab (BD Biosciences) software platform was used for instrument control as well as image acquisition. Automated detection and counting of mRNAs was performed by fitting Gaussians to fluorescent spots with FISH-quant as described previously60 (link)61 (link).
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4

Tracking Lysosomal Transport Dynamics

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WT or BLOC-2 cells stably expressing EGFP-STX13 were plated on Matrigel-coated 35-mm glass-bottom dishes and transiently transfected to express mRFP-OCA2. Cells were visualized by spinning-disk confocal microscopy equipped with an environmental chamber at 37°C/5% CO2. Time-lapse microscopy was performed by capturing images over 5 min at 1 fps using a spinning-disk microscope (IX71; Olympus) equipped with an electron multiplying charge-coupled device camera (ImagEM; Hamamatsu Photonics) and IPLab (BD) or MetaMorph (Molecular Devices) software. Image sequences were further analyzed either with ImageJ or MATLAB (MathWorks, Inc.) software. Images were processed into binary and skeletonized, and tubule length and number were quantified from each skeletonized video frame (equal frame area in each video) using the Analyze Particles plugin in ImageJ software. Values were averaged per video. Tracking of EGFP-STX13 and mRFP-OCA2 merging and splitting events was performed with MATLAB software applying a modified version of a previously described algorithm (supplemental material; Jaqaman et al., 2008 (link)).
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5

Real-time Imaging of BDNF-induced Cytoskeletal Dynamics

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HuSMCs were plated on glass bottom dishes (MatTek Corporation) and cultured in DMEM containing 10% FBS for 24 hours. Medium was changed to serum-free DMEM overnight. Cells were then imaged in phenol red-free DMEM (Invitrogen) supplemented with 30 mM HEPES-NaOH (pH 7.4) using an Olympus IX71 inverted microscope driven by IPLab software (BD Biosciences) and equipped with a 60X PlanApoN objective (NA 1.42), a Hamamatsu EM-CCD camera and a heated stage maintained at 37°C. Images were captured every 15 seconds. Cells were treated with BDNF (100 ng/ml). For inhibitor studies, cells were pre-treated with 10 µM Y-27632 (Cat# 688001, Millipore) or 10 nM K-252a (Cat# 420297, Millipore) for 45 minutes, or pre-incubated with 1 µg/ml C3 transferase (Cat# CT04, Cytoskeleton Inc.) for 4 hours. All movies were exported and processed using IPLab (BD Biosciences) and ImageJ (NIH) software.
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6

Spatial Localization of Bacteria and Fluorescent Markers in Tumor Sections

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The locations of bacteria and ZsGreen in tumors was determined with immunofluorescence. Paraffin-embedded tumor sections were rehydrated and treated with sodium citrate buffer (10 mM Sodium Citrate, 0.05% Tween 20, pH 6.0) for 20 min at 65°C for antigen retrieval. Sections were blocked with protein block (Dako, Santa Clara, CA); stained with two primary antibodies, 1:100 rabbit anti-RCFP polyclonal antibody (Clontech) and 1:10 FITC-conjugated, anti-Salmonella antibody (Abcam, Cambridge, MA); and washed with TBS-T. A secondary antibody, Alexa Fluor 546-donkey-antirabbit IgG (Life Technologies, Carlsbad, CA), was applied at 1:100. 4′,6-Diamidino-2-phenylindole (DAPI) was applied to stain cell nuclei and identify necrosis. Immunofluorescent images were acquired with an inverted epifluorescent microscope (Olympus, Tokyo, Japan) with a 10x Plan-APO fluorescence objective and an automated script written in IPLab (BD Biosciences, Rockville, MD). The script assembled a tiled montage of individual images acquired using three fluorescent filters (Chroma, Bellows Falls, VT): D350/50x (DAPI), D546/10x (ZsGreen) and D455/70x (Salmonella).
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7

Quantification of pGluN1 Immunoreactivity

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Representative pGluN1 signals (Fig. 2A1) were manually selected (red circles in Fig. 2A2), and the area and intensity of the fluorescent signal were measured in each red circle using image analysis software (IPLab, BD Bioscience, San Jose, CA). The range (max/min) of areas and the range (max/min) of fluorescent intensities measured from a total of 236 red circles were used to establish selection criteria for pGluN1 immunoreactive puncta in 30 slices. The criteria, once established, were applied to immunofluorescent signals that were acquired from a total of 2024 images taken from 157 slices in 11 pups using auto-segmentation logic (Triangle), and only those that satisfied the criteria were accepted as pGluN1 immunoreactive puncta (in 512 images in 114 slices in 11 pups). pGluN1 immunoreactivity was quantified as a ratio between the summed total area of pGluN1 immunoreactive puncta over a total image area, and presented graphically as mean ± SEM (standard error of the mean) according to statistical methods set by the EJN Authors' Guideline (EJN vol. 28, pp. 2363-2364). Results were tested for statistical significance with a student t-test or ANOVA (analysis of variance). Differences were considered significant if P < 0.05.
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