PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples.

PyPOLAR 2.6.4 improves the registration for 4 POLAR with a more ergonomic display of the registration. Minor bugs have been corrected regarding the slicing upon registration. Some error messages are now displayed when the wrong calibration is selected. PyPOLAR 2.6.4 includes now a link to create and customize the colorbars used in the analysis. Additional bugs were corrected concerning, e.g., the computation of the dark value. The pickle option for saving results has been removed.

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PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples.

PyPOLAR 2.6.2 improves the registration for 4 POLAR. A possibility to change the SIFT parameters (contrastThreshold, sigma) is introduced. Tuning these parameters allows for a better registration. The quality of the registration is measured by the Pearson and the Manders correlation coefficients. The values of these parameters are exported in the Excel file.
The registration is now decoupled from the choice of order for the polarization angles in 4 POLAR techniques.

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PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples.

PyPOLAR 2.6.1 improves the rescaling of the window/app. It includes the possibility to create an ROI from the Crop Manager once coordinates of the zoom are entered. There is now the possibility to save figures and reopen them for later use (.pyfig extension to be selected in the Options tab, Save output). The 4POLAR 2D technique has been now implemented. In addition, it corrects a series of minor bugs (notably, in the edge detection tool).

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PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples.

PyPOLAR 2.5 corrects a series of minor bugs. It improves the ROI Manager (with interactive modifications); it includes the possibility to measure orientations with respect to a reference angle.

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PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples.

PyPOLAR 2.4.4 corrects a series of minor bugs. This version features a button for histogram concatenation. It includes the possibility of choosing the number of bins for histograms, selecting the formats (.pdf, .jpeg, .png, .tif) for saving figures, and entering the pixel size to measure distances in μm.

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PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples.

PyPOLAR 2.4.3 corrects a number of bugs from 2.4. Colorblind-friendly colormaps are now implemented. The navigation toolbar embedded with the Tkinter canvas has been redesigned for clarity. Additional post-processing options have been included (add axes on all figures, change colormaps, add or remove colorbars, redraw histograms per ROI).

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PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples.

PyPOLAR 2.4 features an edge detection module to compute the edges of the intensity image, and compute orientation angles with respect to these edges (contours).

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PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples.

PyPOLAR 2.3 features an ROI manager which allows the user to work flexibly and interactively with multiple ROIs. The user can assign to each ROI a name and a group, select/deselect ROIs to analyze, or delete specific or all ROIs. The list of ROIs can further be saved and reloaded at the user's convenience for later analysis.

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Polarimetry Analysis goes pythonic!

PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples.

PyPOLAR 2.2 extends the polarimetry analysis to include one-photon fluorescence (1PF), CARS, SRS, SHG, two-photon fluorescence (2PF) and 4POLAR 3D fluorescence. Provides the possibility to change the experimental offset angle as well as to choose the sense of polarization used for the calibration. Includes new features: monitoring the intensity per pixel in the image, saving the polar stack as an animated GIF, measuring distances in image, saving in the excel file additional parameters used for the analysis (dark value, offset, polarization, binning), drawing freehand ROIs, possibility to crop figures, modify the density of sticks and adding axes to the figures post-processing. Increased flexibility by saving the analysis as a compressed pickle file (.pbz2): reloading this file allows the user to re-generate the graphs of interest. Images shown within the application (Intensity and Thresholding tabs) can now be saved in a variety of formats. "4POLAR 2D" and "Edge detection" are under construction.

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extends the polarimetry analysis beyond one-photon fluorescence to include CARS, SRS, SHG and two-photon fluorescence. Includes new features (displaying and saving a polar stack, erasing ROIs, saving figures in png format, option to differentially change stick density in horizontal vs vertical pixels, possibility to change the experimental offset angle, possibility to change the min and max values for the color-coding of variables). Fixes minor bugs related to binning.