The largest database of trusted experimental protocols

42 protocols using spcimage software

1

Fluorescence Lifetime Imaging of NAD(P)H

Check if the same lab product or an alternative is used in the 5 most similar protocols
The fluorescence lifetimes and their contributions (free and protein-bound forms of NAD(P)H: (t1), free NAD(P)H; (t2), bound NAD(P)H; (a1), free NAD(P)H; (a2), bound NAD(P)H) for the ROIs were calculated by finding the global minimum of the χ2 value. The mean values of χ2 and the fluorescence lifetimes in the FBs and DP cells were assessed in the cell cytoplasm. Bi-exponential fitting was used for the analysis of both cofactors. The FLIM images were processed in SPCImage software (Becker&Hickl GmbH, Germany). For fluorescence lifetime analysis at each time point of the dermal equivalents study, from 5 to 10 randomly selected cells and from 10 to 20 ROIs were inspected.
+ Open protocol
+ Expand
2

Time-Resolved Fluorescence Imaging of Leaves

Check if the same lab product or an alternative is used in the 5 most similar protocols
Time resolved measurements on leaves were performed on a FLIM setup described47 (link). Fluorescence was selected using a 680 nm interference filter (13 nm bandwidth) and a 770 nm cut-off filter was used to prevent detection of the excitation beam. A neutral density filter was used in the excitation path to reduce the excitation light intensity. The output of the detector was coupled to a Becker & Hickl single-photon counting module (SPC 830)48 . The time window was set to 256 channels and fluorescence was recorded for 5 min at a count rate of 10,000 counts per second. The IRF was obtained from decay of pinacyanol iodide in methanol.
SPCImage software from Becker&Hickl was used to process FLIM images. Fluorescence decay curves were fitted to a sum of N exponentials, convoluted with the IRF, the lifetime components were fitted individually for each pixel. Average lifetimes were calculated using Eq. 1.
+ Open protocol
+ Expand
3

Quantifying Mitochondrial Dynamics and NAD(P)H Binding

Check if the same lab product or an alternative is used in the 5 most similar protocols
FLIM images were processed with SPCImage software (v5; Becker & Hickl) with non-linear least square for optimal fitting. Data images were exported for analysis using SPCImage to establish the free and enzyme-bound fractions of NAD(P)H. The intensity images were used to document mitochondrial morphology and to generate ROIs with a custom plug-in for ImageJ (http://imagej.net/Welcome) to capture the discrete and heterogeneous nature of mitochondrial dynamics. A custom ImageJ macro extracted parameters of interest, most notably the fraction of enzyme-bound NAD(P)H. A custom macro in Microsoft Excel further processed the data by individual ROI and produced histograms, charts and statistics, followed by merging the different field of views for charting.
+ Open protocol
+ Expand
4

Quantifying Mitochondrial Dynamics and NAD(P)H Binding

Check if the same lab product or an alternative is used in the 5 most similar protocols
FLIM images were processed with SPCImage software (v5; Becker & Hickl) with non-linear least square for optimal fitting. Data images were exported for analysis using SPCImage to establish the free and enzyme-bound fractions of NAD(P)H. The intensity images were used to document mitochondrial morphology and to generate ROIs with a custom plug-in for ImageJ (http://imagej.net/Welcome) to capture the discrete and heterogeneous nature of mitochondrial dynamics. A custom ImageJ macro extracted parameters of interest, most notably the fraction of enzyme-bound NAD(P)H. A custom macro in Microsoft Excel further processed the data by individual ROI and produced histograms, charts and statistics, followed by merging the different field of views for charting.
+ Open protocol
+ Expand
5

Fluorescence Lifetime Imaging and Flow Cytometry Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
The lifetime images were analyzed by exponential function fitting and by determining goodness of fit of the photon decay curve using SPC Image software (Becker & Hickl GmbH). The CFP mean fluorescence lifetime (tm) was determined using a bi-exponential function model, as detailed in Results.
After the flow cytometry data was gated for dead cells and debris, and compensated for fluorescent spill-over, it underwent a linear-log transformation, as described by Klinke and Brundage [38 (link)] using custom scripts and a statistical programming language (R, [39 ]). The data were then gated based on the mCherry fluorescence to permit analysis of SMC contractile protein expression in cells that were transfected with the plasmids.
The experiments were repeated a minimum of three times and typical results are shown. The data are represented as mean ± S.D. and are compared using ANOVA. When indicated, a Tukey’s range test was performed post hoc. Where indicated in the figures, *P≤0.05.
+ Open protocol
+ Expand
6

Multimodal Fluorescence Imaging of Cells and Tumors

Check if the same lab product or an alternative is used in the 5 most similar protocols
An LSM 710 (Carl Zeiss, Germany) fluorescence confocal laser-scanning microscope equipped with a femtosecond Ti:Sa laser with a repetition rate of 80 MHz and pulse duration of 140 fs, and an FLIM module based on time-correlated single photon counting - Simple Tau 152 TCSPC (Becker & Hickl GmbH, Germany), were used to obtain one- and two-photon fluorescence and FLIM images of the cultured cells. A water immersion objective С-Apochromat 40x/1.2 NA W Korr was used for image acquisition. During image acquisition, the cells were maintained at 37 °C and 5% CO2.
For two-photon fluorescence microscopy and FLIM of tumors in vivo an MPTflex (JenLab GmbH, Germane) multiphoton tomograph, equipped with a tunable 80 MHz, 200 fs MaiTai Ti:Sa laser and a TCSPC-based FLIM module (Becker & Hickl GmbH, Germany) were used. The images were acquired through a 40x/1.3 NA oil immersion EC Plan-Neofluar objective.
ImageJ 1.39p software (NIH, USA) was used for fluorescence image processing. Analysis of the FLIM data was performed using SPCImage software (Becker & Hickl GmbH, Germany).
+ Open protocol
+ Expand
7

Fluorescence Lifetime Imaging of FMR-1 and FMR-2

Check if the same lab product or an alternative is used in the 5 most similar protocols
Cells were imaged in 8-well plates on a inverted TCS-SP2 microscope (Leica Microsystems, Germany) and SPC-150 TCSPC boards (Becker & Hickl, Germany). FMR-1 and FMR-2 were excited using a picosecond-pulsed (90 ps optical pulse width, 20 MHz repetition rate) 467 nm diode laser (Hamamatsu, Japan) through a 63X 1.2 NA water objective, with a 485 nm dichroic mirror and a 500 long pass filter. All imaging was done at room temperature. Each FLIM image was acquired over 900 s to ensure as little noise as possible (much shorter acquisition rates are possible). Lifetime histograms and FLIM images were analysed using SPCImage software (Becker & Hickl, Germany).
+ Open protocol
+ Expand
8

Fluorescence Intensity Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were analyzed using SPCImage software (Becker&Hickl, Germany), Origin 7.0 (OriginLab), or ZEN software (Zeiss, Germany). Linear unmixing was achieved using ZEN software, employing reference spectra recorded by the separate staining of cells with individual probes. The fluorescence intensity was evaluated as summed photon counts/pixel belonging to the cell area by a custom-made software.
+ Open protocol
+ Expand
9

In Vivo Two-Photon Imaging and FLIM

Check if the same lab product or an alternative is used in the 5 most similar protocols
Two-photon in vivo imaging was performed with a Dermainspect (JenLab GmbH, Jena, Germany) device equipped with a tunable femtosecond Ti:sapphire laser (Mai Tai XF, Spectra Physics, USA). The laser was operated at 760 nm and generated 100-fs pulses at a repetition rate of 80 MHz. The 410–680 nm bandpass filter was used to detect autofluorescence.
FLIM images were processed in the SPCImage software (Becker&Hickl, Berlin, Germany) incorporated into the Dermainspect system. Fluorescence decay in each pixel was fitted with a sum of two exponentials (fast and slow) with a fixed shift value, and the intensity threshold was chosen depending on the image quality. The obtained lifetime (τ1 and τ2) and amplitude (a1 and a2) values were further exported and used for the evaluation of lifetime distributions and image segmentation. The average lifetime was defined as τm = (a1τ1 + a2τ2)/(a1 + a2). All the images were built using the ImageJ software. The utilized MPT-FLIM system has been previously presented in details elsewhere75 (link).
+ Open protocol
+ Expand
10

FRET-Based Imaging of Protein Interactions

Check if the same lab product or an alternative is used in the 5 most similar protocols
The detailed information on FRET studies was described in our previous publication.33 (link) Briefly, the hCMEC/D3 were transfected with the FRET donor (Cer-VAMP2), FRET acceptor (Cit-SNAP25) or both using transfection reagent (Qiagen, Germantown, MD). Transfected cells were preincubated for 1 h with 1 μM Aβ40, Aβ42, or 10 nM TeNT. The FRET intensity was captured on an Olympus FluoView FV1000IX2 inverted confocal microscope and the images were processed stepwise using FIJI ImageJ software (Wayne Rasband, National Institutes of Health, USA). Offline fluorescent lifetime imaging microscopy (FLIM) data analysis was performed using SPCImage software (Becker & Hickl) to obtain the frequency histogram and mean lifetime (τm).
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!