opticalscanui.py 32.7 KB
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# -*- coding: utf-8 -*-
"""
GEPARD - Gepard-Enabled PARticle Detection
Copyright (C) 2018  Lars Bittrich and Josef Brandt, Leibniz-Institut für 
Polymerforschung Dresden e. V. <bittrich-lars@ipfdd.de>    

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program, see COPYING.  
If not, see <https://www.gnu.org/licenses/>.
"""

from PyQt5 import QtCore, QtWidgets
import numpy as np
from multiprocessing import Process, Queue, Event
import queue
import os
import logging
import logging.handlers
import cv2
from time import localtime, strftime
from typing import List, TYPE_CHECKING
from ..imagestitch import imageStacking
from ..helperfunctions import cv2imread_fix, cv2imwrite_fix, getRamanControl
from ..opticalbackground import BackGroundManager
from .uielements import TimeEstimateProgressbar
from .zlevelsetter import ZLevelSetter
from ..scenePyramid import ScenePyramid
from ..gepardlogging import setDefaultLoggingConfig

if TYPE_CHECKING:
    from ..sampleview import SampleView


def scan(path, sol, zpositions, grid, controlclass, dataqueue,
         stopevent, logpath, ishdr=False):
    if ishdr:
        merge_mertens = cv2.createMergeMertens()

    logger = logging.getLogger()    
    logger.addHandler(
        logging.handlers.RotatingFileHandler(
            logpath, maxBytes=5 * (1 << 20), backupCount=10)
    )
    setDefaultLoggingConfig(logger)
    logger.info('starting new optical scan')
      
    try:
        ramanctrl = controlclass(logger)
        ramanctrl.updateImageConfig(os.path.dirname(logpath))
        ramanctrl.connect()
        zlist = list(enumerate(zpositions))
        for i, p in enumerate(grid):
            x, y = p
            z = sol[0]*x + sol[1]*y + sol[2]
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            for k, zk in (zlist if i % 2 == 0 else zlist[::-1]):
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                name = f"image_{i}_{k}.bmp"
                logger.info(f'taking image {name}, time: ' + strftime("%d %b %Y %H:%M:%S", localtime()))
                zik = z+zk
                assert not np.isnan(zik)
                logger.info(f"moving to: {x}, {y}, {zik}, time: " + strftime("%d %b %Y %H:%M:%S", localtime()))
                ramanctrl.moveToAbsolutePosition(x, y, zik)
                if ishdr:
                    img_list = []
                    fname = os.path.join(path, f"tmp.bmp")
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                    values = [5., 25., 100.]
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                    for j, val in enumerate(values if (i%2+k%2)%2==0 else reversed(values)):
                        ramanctrl.setBrightness(val)
                        logger.info(f'writing hdr image to {fname}')
                        ramanctrl.saveImage(fname)
                        img_list.append(cv2imread_fix(fname))
                    res_mertens = merge_mertens.process(img_list)
                    res_mertens_8bit = np.clip(res_mertens*255, 0, 255).astype('uint8')
                    cv2imwrite_fix(os.path.join(path, name), res_mertens_8bit)
                else:
                    img_path = os.path.join(path, name)
                    logger.info(f'writing non hdr image to {img_path}')
                    ramanctrl.saveImage(img_path)
                if stopevent.is_set():
                    ramanctrl.disconnect()
                    return
            dataqueue.put(i)
        ramanctrl.disconnect()
    except:
        logger.exception('Fatal error in optical scan')
        from .errors import showErrorMessageAsWidget
        showErrorMessageAsWidget('See opticalScanLog in project directory for information')
        

def subtractBackground(image, background):
    avg = np.mean(background)
    subtracted = np.clip(np.array(image - background + avg, dtype=np.uint8), 0, 255)
    return subtracted


def legacyLoadAndPasteImage(srcnames, fullimage, fullzval, width, height,
                            rotationvalue, p0, p1, p, background=None):
    colimgs = []
    for name in srcnames:
        if os.path.isfile(name):
            curImg = cv2imread_fix(name)
            if background is not None:
                curImg = subtractBackground(curImg, background)
            colimgs.append(curImg)

    img, zval = imageStacking(colimgs)

    x, y = p
    Nx, Ny = int((p1[0] - p0[0] + width) / width * img.shape[1]), int((p0[1] - p1[1] + height) / height * img.shape[
        0]) + 10  # + 10 because of rotation and hopefully it will be small
    c, s = np.cos(np.radians(rotationvalue)), np.sin(np.radians(rotationvalue))
    dx, dy = (x - p0[0]) / width * img.shape[1], (p0[1] - y) / height * img.shape[0]

    M = np.float32([[c, s, dx], [-s, c, dy]])
    if fullimage is not None:
        cv2.warpAffine(img, M, (Nx, Ny), fullimage, borderMode=cv2.BORDER_TRANSPARENT)
        cv2.warpAffine(zval, M, (Nx, Ny), fullzval, borderMode=cv2.BORDER_TRANSPARENT)
        dst = fullimage
        zval = fullzval
    else:
        dst = cv2.warpAffine(img, M, (Nx, Ny))
        zval = cv2.warpAffine(zval, M, (Nx, Ny))
    return dst, zval


def removeSrcTiles(names, path):
    files = os.listdir(path)
    for fpath in names:
        file = os.path.basename(fpath)
        if file in files:
            os.remove(fpath)


def loadAndPasteImage(srcnames: List[str], pyramid, fullzval: np.ndarray, width: float, height: float,
                      rotationvalue: float, p0: List[float], p1: List[float], p: List[float], logger, background=None):
    """
    :param list of str srcnames: list of stacked scan files to merge
    :param ScenePyramid pyramid: the scene pyramid
    :param numpy.ndarray fullzval: full size zval image
    :param float width: width of camera
    :param float height: height camera
    :param float rotationvalue: angle of camera
    :param list of float p0: (min x; max y) of scan tile positions
    :param list of float p1: (max x; min y) of scan tile positions
    :param list of float p: position of current scan tile
    :param logger: the logger to use
    :param numpy.ndarray background:
    :return:
    """
    colimgs = []
    for name in srcnames:
        if os.path.isfile(name):
            curImg = cv2imread_fix(name)
            if background is not None:
                curImg = subtractBackground(curImg, background)
            colimgs.append(curImg)

    if 0 == len(colimgs):
        logger.warning(f'no src image(s) found to paste in loadAndPasteImage()')
        return None, fullzval

    img, zval = imageStacking(colimgs)

    x, y = p
    Nx, Ny = int((p1[0]-p0[0]+width)/width*img.shape[1]), int((p0[1]-p1[1]+height)/height*img.shape[0]) + 10  # + 10 because of rotation and hopefully it will be small
    c, s = np.cos(np.radians(rotationvalue)), np.sin(np.radians(rotationvalue))
    dx, dy = (x-p0[0])/width*img.shape[1], (p0[1]-y)/height*img.shape[0]
        
    M = np.float32([[c, s, dx], [-s, c, dy]])
    dst = None

    if pyramid is not None:
        if fullzval is not None:
            cv2.warpAffine(zval, M, (Nx, Ny), fullzval, borderMode=cv2.BORDER_TRANSPARENT)
            zval = fullzval
        else:
            zval = cv2.warpAffine(zval, M, (Nx, Ny))

        pyramid.addSrcTile(
            img,
            np.float32([[c, s, 0], [-s, c, 0]]),
            (dx, dy),
            (Nx, Ny)
        )
    return dst, zval
    

class PointCoordinates(QtWidgets.QGridLayout):
    readPoint = QtCore.pyqtSignal(float, float, float, name='readPoint')
    
    def __init__(self, N, ramanctrl, parent=None, names=None):
        super().__init__(parent)
        self.validpoints = [False]*N
        self.dswidgets = []
        self.N = 0
        self.ramanctrl = ramanctrl
        self.names = names
        self.pimageOnly = QtWidgets.QPushButton("Image")
        self.addWidget(self.pimageOnly, 0, 6, QtCore.Qt.AlignRight)
        self.pimageOnly.released.connect(QtCore.pyqtSlot()(lambda : self.read(-1)))
        self.createWidgets(N)
    
    @QtCore.pyqtSlot()    
    def createWidgets(self, N, pointsgiven=[]):
        points = np.zeros((N, 3))
            
        def connect(button, index):
            button.released.connect(QtCore.pyqtSlot()(lambda: self.read(index)))
        
        for i in range(self.N, min(N, len(self.dswidgets))):
            self.itemAtPosition(i+1, 0).setVisible(True)
            self.itemAtPosition(i+1, 1).setVisible(True)
            self.itemAtPosition(i+1, 2).setVisible(True)
            self.itemAtPosition(i+1, 3).setVisible(True)
            self.itemAtPosition(i+1, 4).setVisible(True)
            self.itemAtPosition(i+1, 5).setVisible(True)
            self.itemAtPosition(i+1, 6).setVisible(True)

        for i in range(self.N, N):
            if self.names is not None:
                lx = QtWidgets.QLabel(f"{self.names[i]} -> x:")
            else:
                lx = QtWidgets.QLabel(f"{i+1} -> x:")
            ly = QtWidgets.QLabel("y:")
            lz = QtWidgets.QLabel("z:")
            wx = QtWidgets.QDoubleSpinBox()
            wy = QtWidgets.QDoubleSpinBox()
            wz = QtWidgets.QDoubleSpinBox()
            for index, spinbox in enumerate([wx, wy, wz]):
                spinbox.setDecimals(1)
                spinbox.setRange(-500_000, 500_000)
                spinbox.setValue(points[i, index])
                spinbox.setMaximumWidth(75)

            self.addWidget(lx, i+1, 0, QtCore.Qt.AlignLeft)
            self.addWidget(wx, i+1, 1, QtCore.Qt.AlignRight)
            self.addWidget(ly, i+1, 2, QtCore.Qt.AlignLeft)
            self.addWidget(wy, i+1, 3, QtCore.Qt.AlignRight)
            self.addWidget(lz, i+1, 4, QtCore.Qt.AlignLeft)
            self.addWidget(wz, i+1, 5, QtCore.Qt.AlignRight)
            pread = QtWidgets.QPushButton("read")
            connect(pread, i)
            self.addWidget(pread, i+1, 6, QtCore.Qt.AlignRight)
            
            self.dswidgets.append([wx, wy, wz])
        for i in range(N, len(self.dswidgets)):
            self.itemAtPosition(i+1, 0).setVisible(False)
            self.itemAtPosition(i+1, 1).setVisible(False)
            self.itemAtPosition(i+1, 2).setVisible(False)
            self.itemAtPosition(i+1, 3).setVisible(False)
            self.itemAtPosition(i+1, 4).setVisible(False)
            self.itemAtPosition(i+1, 5).setVisible(False)
            self.itemAtPosition(i+1, 6).setVisible(False)
        self.N = N
        
        for i, p in pointsgiven:
            wx, wy, wz = self.dswidgets[i]
            x, y, z = p
            wx.setValue(x)
            wy.setValue(y)        
            wz.setValue(z)
            self.validpoints[i] = True
        for i in range(len(pointsgiven), N):
            wx, wy, wz = self.dswidgets[i]
            wx.setValue(0)
            wy.setValue(0)        
            wz.setValue(0)
        
        self.update()
        
    def read(self, index):
        x, y, z = self.ramanctrl.getPosition()
        z = self.ramanctrl.getUserZ()
        if index >= 0:
            wx, wy, wz = self.dswidgets[index]
            wx.setValue(x)
            wy.setValue(y)        
            wz.setValue(z)
            self.validpoints[index] = True
        self.readPoint.emit(x, y, z)
        
    def getPoints(self):
        points = np.zeros((self.N, 3), dtype=np.double)
        for i in range(self.N):
            if self.validpoints[i]:
                wx, wy, wz = self.dswidgets[i]
                points[i, 0] = wx.value()
                points[i, 1] = wy.value()
                points[i, 2] = wz.value()
            else:
                points[i, :] = np.nan
        return points


class OpticalScanUI(QtWidgets.QWidget):
    imageUpdate = QtCore.pyqtSignal(str, name='imageUpdate')    #str = 'df' (= darkfield) or 'bf' (=bright field)
    boundaryUpdate = QtCore.pyqtSignal()
    backGroundSavedToPath = QtCore.pyqtSignal(int, str)

    # def __init__(self, ramanctrl, dataset, logger, parent=None):
    def __init__(self, sampleview: 'SampleView'):
        super().__init__(sampleview, QtCore.Qt.Window)
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        self.timer = QtCore.QTimer(self)
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        self.logger = sampleview.logger
        self.view: QtWidgets.QGraphicsView = sampleview
        mainLayout = QtWidgets.QVBoxLayout()

        pointgroup = QtWidgets.QGroupBox("Point coordinates [µm]", self)
        self.ramanctrl = sampleview.ramanctrl
        self.dataset = sampleview.dataset
        self.pyramid: ScenePyramid = None
        self.positions = []
        self.process = None
        self.points = PointCoordinates(5, self.ramanctrl, self)
        pointgroup.setLayout(self.points)
        self.points.readPoint.connect(self.takePoint)
        
        bkggroup = QtWidgets.QGroupBox('Manage Background Images')
        self.enableBackGround = QtWidgets.QCheckBox('Enable BackgroundSubtraction')
        self.enableBackGround.setChecked(False)
        self.enableBackGround.stateChanged.connect(self.enableDisableBackground)
        self.backGroundManager = BackGroundManager(self)
        self.backGroundManager.managerClosed.connect(self.managerWasClosed)
        self.backGroundManager.readBackground.connect(self.readBackground)
        self.showBgkManagerBtn = QtWidgets.QPushButton('Show Background Manager Window')
        self.showBgkManagerBtn.setDisabled(True)
        self.showBgkManagerBtn.clicked.connect(self.showHideBackgroundWindow)
        
        bkglayout = QtWidgets.QVBoxLayout()
        bkglayout.addWidget(self.enableBackGround)
        bkglayout.addWidget(self.showBgkManagerBtn)
        bkggroup.setLayout(bkglayout)
        
        self.pareaselect = QtWidgets.QPushButton("Area select", self)
        label = QtWidgets.QLabel("Size increase:", self)
        self.radiusincreaseedit = QtWidgets.QDoubleSpinBox(self)
        self.radiusincreaseedit.setMinimum(-1000)
        self.radiusincreaseedit.setMaximum(1000)
        self.radiusincreaseedit.setDecimals(0)
        self.radiusincreaseedit.setSingleStep(20)
        self.radiusincreaseedit.setMaximumWidth(100)
        self.radiusincreaseedit.valueChanged.connect(self.areaSelect)
        self.hdrcheck = QtWidgets.QCheckBox("High dynamic range", self)
        self.hdrcheck.setChecked(False)

        self.zLevelSetter = ZLevelSetter()
        self.zLevelSetter.sizeChanged.connect(self._updateSize)

        self.prun = QtWidgets.QPushButton("Run", self)
        self.pexit = QtWidgets.QPushButton("Cancel", self)
        self.pareaselect.released.connect(self.areaSelect)
        self.prun.released.connect(self.run)
        self.pexit.released.connect(self.cancelScan)
        self.prun.setEnabled(False)
        
        self.progressbar = TimeEstimateProgressbar()
        self.progressbar.disable()
        
        radioGroup = QtWidgets.QGroupBox('Shape')
        radioLayout = QtWidgets.QHBoxLayout()
        self.circlerad = QtWidgets.QRadioButton("Circle")
        self.circlerad.clicked.connect(self.areaSelect)
        self.rectanglerad = QtWidgets.QRadioButton("Rectangle")
        self.rectanglerad.setChecked(True)
        self.rectanglerad.clicked.connect(self.areaSelect)
        radioLayout.addWidget(self.circlerad)
        radioLayout.addWidget(self.rectanglerad)
        radioGroup.setLayout(radioLayout)

        micModeGroup = QtWidgets.QGroupBox('Mode for Image Acquisition')
        micModeLayout = QtWidgets.QHBoxLayout()
        self.df_btn = QtWidgets.QRadioButton('Darkfield')
        self.df_btn.setChecked(True)
        self.df_btn.clicked.connect(self.areaSelect)
        self.bf_btn = QtWidgets.QRadioButton('Brightfield')
        self.bf_btn.clicked.connect(self.areaSelect)
        micModeLayout.addWidget(self.df_btn)
        micModeLayout.addWidget(self.bf_btn)
        micModeGroup.setLayout(micModeLayout)
                
        self.areaOptionsGroup = QtWidgets.QGroupBox('Area Select Options')
        areaLayout = QtWidgets.QFormLayout()
        areaLayout.addRow(radioGroup)
        areaLayout.addRow(label, self.radiusincreaseedit)
        areaLayout.addRow(micModeGroup)
        if not self.view.ramanSwitchNeeded:
            micModeGroup.setDisabled(True)
        areaLayout.addRow(self.pareaselect)
        self.areaOptionsGroup.setLayout(areaLayout)
        self.areaOptionsGroup.setDisabled(True)

        furtherOptionsGroup = QtWidgets.QGroupBox('Further Options')
        furtherOptionsLayout = QtWidgets.QFormLayout()
        furtherOptionsLayout.addRow(self.hdrcheck)
        furtherOptionsGroup.setLayout(furtherOptionsLayout)

        btnLayout = QtWidgets.QHBoxLayout()
        btnLayout.addWidget(self.prun)
        btnLayout.addWidget(self.pexit)
        btnLayout.addStretch()

        vbox1 = QtWidgets.QVBoxLayout()
        vbox2 = QtWidgets.QVBoxLayout()

        vbox1.addWidget(pointgroup)
        vbox1.addWidget(self.zLevelSetter)
        vbox1.addStretch()

        vbox2.addWidget(self.areaOptionsGroup)
        vbox2.addWidget(bkggroup)
        vbox2.addWidget(furtherOptionsGroup)
        vbox2.addStretch()

        optionsLayout = QtWidgets.QHBoxLayout()
        optionsLayout.addLayout(vbox1)
        optionsLayout.addLayout(vbox2)

        mainLayout.addLayout(optionsLayout)
        mainLayout.addWidget(self.progressbar)
        mainLayout.addLayout(btnLayout)

        self.setLayout(mainLayout)
        self.setVisible(False)

    def enableDisableBackground(self):
        self.showBgkManagerBtn.setEnabled(self.enableBackGround.isChecked())
        if self.enableBackGround.isChecked():
            self.backGroundManager.calculateAverageImage()
        else:
            self.deleteBackGroundImage()

    def showHideBackgroundWindow(self):
        if self.backGroundManager.isHidden():
            self.backGroundManager.show()
            self.showBgkManagerBtn.setText('Hide Background Manager Window')
        else:
            self.backGroundManager.hide()
            self.showBgkManagerBtn.setText('Show Background Manager Window')
        
    def managerWasClosed(self):
        self.showBgkManagerBtn.setText('Show Background Manager Window')

    @QtCore.pyqtSlot()
    def _updateSize(self):
        self.adjustSize()

    @QtCore.pyqtSlot()
    def cancelScan(self):
        if self.process is not None and self.process.is_alive():
            reply = QtWidgets.QMessageBox.question(self, 'Stop optical scan?',
                                "Do you want to terminate the running scan?",
                                QtWidgets.QMessageBox.Yes | 
                                QtWidgets.QMessageBox.No, QtWidgets.QMessageBox.No)
            if reply == QtWidgets.QMessageBox.Yes:
                self.progressbar.resetTimerAndCounter()
                self.timer.stop()
                self.processstopevent.set()
                self.process.terminate()
                self.process.join()
                self.dataqueue.close()
                self.dataqueue.join_thread()
                self.view.unblockUI()
                self.close()

    @QtCore.pyqtSlot()
    def areaSelect(self):
        magn = self.ramanctrl.magn
        
        if self.circlerad.isChecked() == True:
            xym, r = cv2.minEnclosingCircle(np.array([p[:2] for p in self.dataset.fitpoints], 
                                                     dtype=np.float32))
            r += self.radiusincreaseedit.value()
            phi = np.linspace(0, 2*np.pi, magn, endpoint=False)
            self.dataset.boundary = [[xym[0]+r*np.cos(phii), xym[1]+r*np.sin(phii)] for phii in phi]
        else:
            da = self.radiusincreaseedit.value()
            x0, x1 = self.dataset.fitpoints[:,0].min()-da, self.dataset.fitpoints[:,0].max()+da
            y0, y1 = self.dataset.fitpoints[:,1].min()-da, self.dataset.fitpoints[:,1].max()+da
            a = 2*(y1-y0 + x1-x0)
            nx, ny = max(int(np.round((x1-x0)/a*magn)),2), max(int(np.round((y1-y0)/a*magn)),2)
            x, dx = np.linspace(x0, x1, nx, endpoint=False, retstep=True)
            y, dy = np.linspace(y0, y1, ny, endpoint=False, retstep=True)
            self.dataset.boundary = [[xi, yi] for xi, yi in zip(x,y0*np.ones_like(x))] + \
                                    [[xi, yi] for xi, yi in zip(x1*np.ones_like(y),y)] + \
                                    [[xi, yi] for xi, yi in zip(x[::-1]+dx,y1*np.ones_like(x))] + \
                                    [[xi, yi] for xi, yi in zip(x0*np.ones_like(y),y[::-1]+dy)]
            
        self.boundaryUpdate.emit()
        self.prun.setEnabled(True)
    
    def setPyramid(self, pyramid):
        self.pyramid = pyramid

    def resetDataset(self, ds):
        self.dataset = ds
        self.points.createWidgets(5, list(zip(ds.fitindices,ds.fitpoints)))
        if len(self.dataset.fitindices)>1:
            self.areaOptionsGroup.setEnabled(True)
        softwarez = self.ramanctrl.getSoftwareZ()
        if abs(softwarez) > 0.1 and self.ramanctrl.name == 'WITecCOM':
            reply = QtWidgets.QMessageBox.critical(self, 'Software z position nonzero',
            "The software z position needs to be set to zero."\
            " Moving z for %4.0f µm relative to current position. Counteract manually before proceeding!"%(-softwarez), 
            QtWidgets.QMessageBox.Yes | 
            QtWidgets.QMessageBox.Abort, QtWidgets.QMessageBox.Abort)

            if reply == QtWidgets.QMessageBox.Yes:
                self.ramanctrl.moveZto(0.0)
            else:
                QtWidgets.QMessageBox.information(self, "Information", 'Scan may stop if the software z position gets to high!',
                                                  QtWidgets.QMessageBox.Ok)
        
    @QtCore.pyqtSlot(float, float, float) 
    def takePoint(self, x, y, z):
        if self.dataset.heightmap is not None:
            reply = QtWidgets.QMessageBox.critical(self, 'Dataset already contains optical scan data',
                "Continuation will invalidate all previous results! Continue anyway?", 
                QtWidgets.QMessageBox.Yes | QtWidgets.QMessageBox.No, QtWidgets.QMessageBox.No)

            if reply != QtWidgets.QMessageBox.Yes:
                return
        self.ramanctrl.saveImage(self.dataset.getTmpImageName())
        width, height, rotationvalue = self.ramanctrl.getImageDimensions(self.view.microscopeMode)
        pshift = self.ramanctrl.getRamanPositionShift()
        self.dataset.pshift = pshift
        img = cv2imread_fix(self.dataset.getTmpImageName())
        
        self.dataset.imagedim_bf = self.ramanctrl.getImageDimensions('bf')
        self.dataset.pixelscale_bf = self.dataset.imagedim_bf[0]/img.shape[1]          #=imagedim_width/shape[1]
        self.dataset.imagedim_df = self.ramanctrl.getImageDimensions('df')
        self.dataset.pixelscale_df = self.dataset.imagedim_df[0]/img.shape[1]          #=imagedim_width/shape[1]
        
        points = self.points.getPoints()
        ind = np.isfinite(points[:,0])
        self.dataset.fitindices = np.arange(points.shape[0])[ind]
        points = points[ind,:].copy()
        self.dataset.fitpoints = points
        if len(points)>1:
            self.areaOptionsGroup.setEnabled(True)
        
        points = np.concatenate(([[x,y,z]], points), axis=0)
        p0 = [points[:,0].min(), points[:,1].max()]
        p1 = [points[:,0].max(), points[:,1].min()]
        if self.dataset.maxdim is not None:
            p0 = [min(p0[0], self.dataset.maxdim[0]), max(p0[1], self.dataset.maxdim[1])]
            p1 = [max(p1[0], self.dataset.maxdim[2]), min(p1[1], self.dataset.maxdim[3])]
            
        Nx, Ny = int((p1[0]-p0[0]+width)/width*img.shape[1]), int((p0[1]-p1[1]+height)/height*img.shape[0]) + 10  # + 10 because of rotation and hopefully it will be small
        c, s = np.cos(np.radians(rotationvalue)), np.sin(np.radians(rotationvalue))
        dx, dy = (x-p0[0])/width*img.shape[1], (p0[1]-y)/height*img.shape[0]
        M = np.float32([[c, s, dx], [-s, c, dy]])
        #dst = cv2.warpAffine(img, M, (Nx, Ny))
        M_rot = np.float32([[c, s, 0], [-s, c, 0]])
        img_rot = cv2.warpAffine(img, M_rot, (img.shape[1], img.shape[0] + 10))
        # calc new pixel start coords for tile
        # @see https://stackoverflow.com/a/43166421/9880753
        c_dest = cv2.transform(np.float32([[(0, 0)]]), np.float32([[c, s, dx], [-s, c, dy]]))

        self.pyramid.addSrcTileSimple(
            img_rot,
            (c_dest[0][0][0], c_dest[0][0][1]),
            p0
        )

        #if self.view.imgdata is not None and self.dataset.lastpos is not None:
        #    lp = self.dataset.lastpos
        #    dx, dy = (lp[0]-p0[0])/width*img.shape[1], (p0[1]-lp[1])/height*img.shape[0]
        #    full = self.view.imgdata
        #    M = np.float32([[1,0,dx],[0,1,dy]])
        #    try:
        #        full = cv2.warpAffine(full, M, (Nx, Ny))            #fails, if image dimensions are >32767x32767px...
        #        dst = cv2.max(full, dst)
        #    except:
        #        QtWidgets.QMessageBox.critical(self, 'Error', 'Image is too large\nSelect smaller region.')
        #        raise
        #        return
        
        #self.view.imgdata = dst
        self.dataset.lastpos = p0
        self.dataset.maxdim = p0 + p1
        self.dataset.readin = False
        self.imageUpdate.emit(self.view.microscopeMode)
    
    @QtCore.pyqtSlot(int) 
    def readBackground(self, indexOfCallingImage):
        tmp_path = self.dataset.getTmpImageName()
        self.ramanctrl.saveImage(tmp_path)
        self.backGroundSavedToPath.emit(indexOfCallingImage, tmp_path)
    
    def writeBackGroundImage(self, backgroundImg):
        cv2imwrite_fix(self.dataset.getBackgroundImageName(), cv2.cvtColor(backgroundImg, cv2.COLOR_RGB2BGR))
    
    def deleteBackGroundImage(self):
        if os.path.exists(self.dataset.getBackgroundImageName()):
            os.remove(self.dataset.getBackgroundImageName())
        
    @QtCore.pyqtSlot() 
    def run(self):
        ramanPoints = self.dataset.particleContainer.getMeasurementPixelCoords()
        if len(ramanPoints) != 0:
            reply = QtWidgets.QMessageBox.critical(self, 'Dataset already contains raman scan points',
                "Continuation will invalidate all previous results! Continue anyway?", 
                QtWidgets.QMessageBox.Yes | QtWidgets.QMessageBox.No, QtWidgets.QMessageBox.No)

            if reply != QtWidgets.QMessageBox.Yes:
                return
            
        if self.dataset.readin:
            reply = QtWidgets.QMessageBox.critical(self, 'Dataset is newly read from disk!',
                "Coordinate systems might have changed since. Do you want to continue with saved coordinates?", 
                QtWidgets.QMessageBox.Yes | QtWidgets.QMessageBox.No, QtWidgets.QMessageBox.No)

            if reply == QtWidgets.QMessageBox.Yes:
                self.dataset.readin = False
            else:
                return
        
        if os.path.exists(self.dataset.getBackgroundImageName()):
            reply = QtWidgets.QMessageBox.critical(self, 'Background correction info.',
                "A background image was saved. All acquired images will be corrected. Continue?\nOtherwise delete images in background manager", 
                QtWidgets.QMessageBox.Yes | QtWidgets.QMessageBox.No, QtWidgets.QMessageBox.Yes)

            if reply != QtWidgets.QMessageBox.Yes:
                return
        
        self.view.imparent.ramanSwitch.df_btn.setChecked(self.df_btn.isChecked())
        self.view.imparent.ramanSwitch.setDisabled(True)
        self.view.setMicroscopeMode()

        if self.df_btn.isChecked():
            self.view.dataset.imagescanMode = 'df'
        else:
            self.view.dataset.imagescanMode = 'bf'
 
        points = np.float32(self.dataset.fitpoints)
        # convert z to software z, which is relative to current user z
        softwarez = self.ramanctrl.getSoftwareZ()  # get current software z
        points[:,2] += softwarez-self.ramanctrl.getUserZ()

        try:
            zrange = self.zLevelSetter.getZLevels()
        except ValueError:
            return

        zmaxstack = max(zrange)
        if len(zrange) == 1:
            zmaxstack = 0.0
            self.dataset.zpositions = np.array([0.0])
        else:
            # self.dataset.zpositions = np.linspace(0, zmaxstack, Nz)
            self.dataset.zpositions = zrange

        width, height, rotationvalue = self.dataset.imagedim_df
        self.logger.debug(f"Width: {width}, height: {height}, rotation: {rotationvalue}")
        self.logger.debug(f"Points x: {points[:,0].min(), points[:,0].max()}")
        self.logger.debug(f"Points y: {points[:,1].min(), points[:,1].max()}")
        self.logger.debug(f"Points z: {points[:,2].min(), points[:,2].max()}")

        A = np.ones((points.shape[0],3))
        A[:,:2] = points[:,:2]
        b = points[:,2]
        sol = np.linalg.lstsq(A, b, rcond=None)[0]
        self.dataset.heightmap = sol
        self.logger.info(f"Fit deviation: {sol[0]*points[:,0]+sol[1]*points[:,1]+sol[2] -points[:,2]}")

        path = self.dataset.getScanPath()
        # get zmin and zmax in absolut software z coordinates
        zmin, zmax = None, None
        for i, p in enumerate(self.dataset.grid):
            x, y = p
            z = sol[0]*x + sol[1]*y + sol[2]
            if i==0:
                zmin, zmax = z, z
            else:
                if zmin>z: zmin = z
                if zmax<z: zmax = z
        zmax += zmaxstack        
        # convert to relative movements for user info:
        zmin -= softwarez
        zmax -= softwarez
        reply = QtWidgets.QMessageBox.question(self, 'Starting optical scan',
            "Please switch to dark field optics. Microscope will move"\
            " (%4.0f,%4.0f) µm relative to current position. Proceed?"%(zmin,zmax), 
            QtWidgets.QMessageBox.Yes | 
            QtWidgets.QMessageBox.No, QtWidgets.QMessageBox.No)

        if reply == QtWidgets.QMessageBox.Yes:
            self.prun.setEnabled(False)
            self.ramanctrl.disconnect()
            self.processstopevent = Event()
            self.dataqueue = Queue()
            logpath = os.path.join(self.dataset.path, 'opticalScanLog.txt')
            self.process = Process(target=scan, args=(path, sol, self.dataset.zpositions, 
                                self.dataset.grid, self.ramanctrl.__class__,
                                self.dataqueue, self.processstopevent, 
                                logpath, self.hdrcheck.isChecked()))
            self.process.start()
            self.progressbar.enable()
            self.progressbar.resetTimerAndCounter()
            self.progressbar.setMaxValue(len(self.dataset.grid))
            self.pyramid.resetScene()
            self.view.blockUI()
            grid = np.asarray(self.dataset.grid)
            p0 = [grid[:, 0].min(), grid[:, 1].max()]
            p1 = [grid[:, 0].max(), grid[:, 1].min()]
            self.dataset.lastpos = p0
            self.dataset.maxdim = p0 + p1
            self.dataset.mode = "opticalscan"
            self.dataset.save()
            self.timer.timeout.connect(self.checkOnScan)
            self.timer.setSingleShot(True)
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            self.timer.start(1000)
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    @QtCore.pyqtSlot()      
    def checkOnScan(self):
        try:
            i = self.dataqueue.get_nowait()
        except queue.Empty:
            i = -1
            
        if i >= 0:
                    
            Ngrid = len(self.dataset.grid)
            names = []
            for k in range(len(self.dataset.zpositions)):
                names.append(os.path.join(self.dataset.getScanPath(), f"image_{i}_{k}.bmp"))
            width, height, rotationvalue = (self.dataset.imagedim_df if self.view.imparent.ramanSwitch.df_btn.isChecked() else self.dataset.imagedim_bf)
            p = self.dataset.grid[i]
            p0, p1 = self.dataset.maxdim[:2], self.dataset.maxdim[2:]
            
            if os.path.exists(self.dataset.getBackgroundImageName()):
                background_img = cv2imread_fix(self.dataset.getBackgroundImageName())
            else:
                background_img = None
                
            self.view.imgdata, self.dataset.zvalimg = loadAndPasteImage(
                names, self.pyramid, self.dataset.zvalimg, width, height,
                rotationvalue, p0, p1, p, self.logger, background=background_img
            )

            removeSrcTiles(names, self.dataset.getScanPath())

            self.progressbar.setValue(i+1)
            self.imageUpdate.emit(self.view.microscopeMode)
            
            if i == Ngrid-1:
                self.dataset.saveZvalImg()
                self.process.join()
                self.dataqueue.close()
                self.dataqueue.join_thread()

                self.pyramid.toDataset()

                self.ramanctrl.connect()
                self.view.saveDataSet()
                self.view.unblockUI()
                self.view.imparent.activateMaxMode()
                self.progressbar.resetTimerAndCounter()
                self.progressbar.disable()
                self.close()
                return

        self.timer.start(100)

    def closeEvent(self, event):
        self.backGroundManager.close()
        event.accept()