Releases: cchandre/Polarimetry
PyPOLAR 2.9.0
PyPOLAR is a Python-based application designed to analyze polarization-resolved microscopy data, enabling the measurement of molecular orientation and order in biological samples.
PyPOLAR 2.9.0 integrates an automated procedure for disk cone calibration (1PF) to compensate for optical distortions post-acquisition. It further provides more flexibility by allowing the batch analysis of stacks using predefined ROIs that have been generated in the ROI Manager of ImageJ/Fiji or of PyPOLAR. PyPOLAR 2.9.0 features additional new tools for more efficient exploration and editing of figures, including changing the bin number in histograms and resizing the displayed figures in an interactive manner.
PyPOLAR
PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples.
PyPOLAR 2.8.0 provides more flexibility by allowing the import of ROIs from the ROI Manager of ImageJ/Fiji. The ROI Manager in PyPOLAR further displays ILow values that can now be changed. Bugs with respect to the saving of csv/excel files in the edge detection mode and to the renumbering of ROIs in the ROI manager were corrected.
PyPOLAR
PyPOLAR is a Python-based app for analyzing polarization-resolved microscopy data to measure molecular orientation and order in biological samples.
PyPOLAR 2.7.0 includes additional save output formats for more flexibility with data post-processing, notably the possibility to export the measured parameters per pixel in a .csv format as well as composite image files compatible with ImageJ/Fiji . For SHG, in addition to the parameter S, the parameters S2 and S4 are also included.
PyPOLAR
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.
PyPOLAR
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.
PyPOLAR
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).
PyPOLAR
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.
PyPOLAR
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.
PyPOLAR
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).
PyPOLAR
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).