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+#############################################################################
+##
+## Copyright (C) 2019 The Qt Company Ltd.
+## Contact: https://www.qt.io/licensing/
+##
+## This file is part of the Qt for Python examples of the Qt Toolkit.
+##
+## $QT_BEGIN_LICENSE:LGPL$
+## Commercial License Usage
+## Licensees holding valid commercial Qt licenses may use this file in
+## accordance with the commercial license agreement provided with the
+## Software or, alternatively, in accordance with the terms contained in
+## a written agreement between you and The Qt Company. For licensing terms
+## and conditions see https://www.qt.io/terms-conditions. For further
+## information use the contact form at https://www.qt.io/contact-us.
+##
+## GNU Lesser General Public License Usage
+## Alternatively, this file may be used under the terms of the GNU Lesser
+## General Public License version 3 as published by the Free Software
+## Foundation and appearing in the file LICENSE.LGPL3 included in the
+## packaging of this file. Please review the following information to
+## ensure the GNU Lesser General Public License version 3 requirements
+## will be met: https://www.gnu.org/licenses/lgpl-3.0.html.
+##
+## GNU General Public License Usage
+## Alternatively, this file may be used under the terms of the GNU
+## General Public License version 2.0 or (at your option) the GNU General
+## Public license version 3 or any later version approved by the KDE Free
+## Qt Foundation. The licenses are as published by the Free Software
+## Foundation and appearing in the file LICENSE.GPL2 and LICENSE.GPL3
+## included in the packaging of this file. Please review the following
+## information to ensure the GNU General Public License requirements will
+## be met: https://www.gnu.org/licenses/gpl-2.0.html and
+## https://www.gnu.org/licenses/gpl-3.0.html.
+##
+## $QT_END_LICENSE$
+##
+#############################################################################
+
+import sys
+
+import numpy as np
+from matplotlib.backends.backend_qt5agg import FigureCanvas
+from matplotlib.colors import LinearSegmentedColormap
+from matplotlib.figure import Figure
+from PySide2.QtCore import QSize, Qt, Slot
+from PySide2.QtGui import QKeySequence
+from PySide2.QtWidgets import (QAction, QApplication, QHBoxLayout, QLabel,
+ QMainWindow, QPushButton, QSizePolicy,
+ QVBoxLayout, QWidget)
+from skimage import data
+from skimage.color import rgb2hed
+from skimage.exposure import rescale_intensity
+
+
+class ApplicationWindow(QMainWindow):
+ """
+ Example based on the example by 'scikit-image' gallery:
+ "Immunohistochemical staining colors separation"
+ https://scikit-image.org/docs/stable/auto_examples/color_exposure/plot_ihc_color_separation.html
+ """
+
+ def __init__(self, parent=None):
+ QMainWindow.__init__(self, parent)
+ self._main = QWidget()
+ self.setCentralWidget(self._main)
+
+ # Main menu bar
+ self.menu = self.menuBar()
+ self.menu_file = self.menu.addMenu("File")
+ exit = QAction("Exit", self, triggered=qApp.quit)
+ self.menu_file.addAction(exit)
+
+ self.menu_about = self.menu.addMenu("&About")
+ about = QAction("About Qt", self, shortcut=QKeySequence(QKeySequence.HelpContents),
+ triggered=qApp.aboutQt)
+ self.menu_about.addAction(about)
+
+ # Create an artificial color close to the original one
+ self.ihc_rgb = data.immunohistochemistry()
+ self.ihc_hed = rgb2hed(self.ihc_rgb)
+
+ main_layout = QVBoxLayout(self._main)
+ plot_layout = QHBoxLayout()
+ button_layout = QHBoxLayout()
+ label_layout = QHBoxLayout()
+
+ self.canvas1 = FigureCanvas(Figure(figsize=(5, 5)))
+ self.canvas2 = FigureCanvas(Figure(figsize=(5, 5)))
+
+ self._ax1 = self.canvas1.figure.subplots()
+ self._ax2 = self.canvas2.figure.subplots()
+
+ self._ax1.imshow(self.ihc_rgb)
+
+ plot_layout.addWidget(self.canvas1)
+ plot_layout.addWidget(self.canvas2)
+
+ self.button1 = QPushButton("Hematoxylin")
+ self.button2 = QPushButton("Eosin")
+ self.button3 = QPushButton("DAB")
+ self.button4 = QPushButton("Fluorescence")
+
+ self.button1.setSizePolicy(QSizePolicy.Preferred, QSizePolicy.Expanding)
+ self.button2.setSizePolicy(QSizePolicy.Preferred, QSizePolicy.Expanding)
+ self.button3.setSizePolicy(QSizePolicy.Preferred, QSizePolicy.Expanding)
+ self.button4.setSizePolicy(QSizePolicy.Preferred, QSizePolicy.Expanding)
+
+ self.button1.clicked.connect(self.plot_hematoxylin)
+ self.button2.clicked.connect(self.plot_eosin)
+ self.button3.clicked.connect(self.plot_dab)
+ self.button4.clicked.connect(self.plot_final)
+
+ self.label1 = QLabel("Original", alignment=Qt.AlignCenter)
+ self.label2 = QLabel("", alignment=Qt.AlignCenter)
+
+ font = self.label1.font()
+ font.setPointSize(16)
+ self.label1.setFont(font)
+ self.label2.setFont(font)
+
+ label_layout.addWidget(self.label1)
+ label_layout.addWidget(self.label2)
+
+ button_layout.addWidget(self.button1)
+ button_layout.addWidget(self.button2)
+ button_layout.addWidget(self.button3)
+ button_layout.addWidget(self.button4)
+
+ main_layout.addLayout(label_layout, 2)
+ main_layout.addLayout(plot_layout, 88)
+ main_layout.addLayout(button_layout, 10)
+
+ # Default image
+ self.plot_hematoxylin()
+
+ def set_buttons_state(self, states):
+ self.button1.setEnabled(states[0])
+ self.button2.setEnabled(states[1])
+ self.button3.setEnabled(states[2])
+ self.button4.setEnabled(states[3])
+
+ @Slot()
+ def plot_hematoxylin(self):
+ cmap_hema = LinearSegmentedColormap.from_list("mycmap", ["white", "navy"])
+ self._ax2.imshow(self.ihc_hed[:, :, 0], cmap=cmap_hema)
+ self.canvas2.draw()
+ self.label2.setText("Hematoxylin")
+ self.set_buttons_state((False, True, True, True))
+
+ @Slot()
+ def plot_eosin(self):
+ cmap_eosin = LinearSegmentedColormap.from_list("mycmap", ["darkviolet", "white"])
+ self._ax2.imshow(self.ihc_hed[:, :, 1], cmap=cmap_eosin)
+ self.canvas2.draw()
+ self.label2.setText("Eosin")
+ self.set_buttons_state((True, False, True, True))
+
+ @Slot()
+ def plot_dab(self):
+ cmap_dab = LinearSegmentedColormap.from_list("mycmap", ["white", "saddlebrown"])
+ self._ax2.imshow(self.ihc_hed[:, :, 2], cmap=cmap_dab)
+ self.canvas2.draw()
+ self.label2.setText("DAB")
+ self.set_buttons_state((True, True, False, True))
+
+ @Slot()
+ def plot_final(self):
+ h = rescale_intensity(self.ihc_hed[:, :, 0], out_range=(0, 1))
+ d = rescale_intensity(self.ihc_hed[:, :, 2], out_range=(0, 1))
+ zdh = np.dstack((np.zeros_like(h), d, h))
+ self._ax2.imshow(zdh)
+ self.canvas2.draw()
+ self.label2.setText("Stain separated image")
+ self.set_buttons_state((True, True, True, False))
+
+
+if __name__ == "__main__":
+
+ app = QApplication(sys.argv)
+ w = ApplicationWindow()
+ w.show()
+ app.exec_()