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plotWholeBrainDomains.m
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function varargout = plotWholeBrainDomains(varargin)
% PLOTWHOLEBRAINDOMAINS MATLAB code for plotWholeBrainDomains.fig
% This function is utilized to visualize and compare multiple copies of the
% same movie (in this case up to 4) and can interactively mark
% all real positive ROIs (calcium domains in this case) as well as
% true-positive detected vs false-positive detected domains. and can export
% the data to workspace for error rate detection statistics.
%
%EXAMPLE: plotWholeBrainDomains(movie1,movie2,movie3,movie4,movieTitles)
%INPUTS: movie1, movie2, movie3, and movie4 are MxNxP matlab arrays
% (uint8 or logical format is best) that get passed within varargin where
% movie1 is varargin{1}, etc.
% movieTitles is a 1xN cell array of strings, whose text describes each
% movie.
%
%
% PLOTWHOLEBRAINDOMAINS, by itself, creates a new PLOTWHOLEBRAINDOMAINS or raises the existing
% singleton*.
%
% H = PLOTWHOLEBRAINDOMAINS returns the handle to a new PLOTWHOLEBRAINDOMAINS or the handle to
% the existing singleton*.
%
% PLOTWHOLEBRAINDOMAINS('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in PLOTWHOLEBRAINDOMAINS.M with the given input arguments.
%
% PLOTWHOLEBRAINDOMAINS('Property','Value',...) creates a new PLOTWHOLEBRAINDOMAINS or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before plotWholeBrainDomains_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to plotWholeBrainDomains_OpeningFcn via varargin.
%
% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
% instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Edit the above text to modify the response to help plotWholeBrainDomains
% Last Modified by GUIDE v2.5 01-Apr-2013 09:51:44
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @plotWholeBrainDomains_OpeningFcn, ...
'gui_OutputFcn', @plotWholeBrainDomains_OutputFcn, ...
'gui_LayoutFcn', [] , ...
'gui_Callback', []);
if nargin && ischar(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
% --- Executes just before plotWholeBrainDomains is made visible.
function plotWholeBrainDomains_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin command line arguments to plotWholeBrainDomains (see VARARGIN)
%-------BEGIN JBA EDIT---------
% Create the data to plot.
handles.movie1 = varargin{1};
handles.movie2 = varargin{2};
handles.movie3 = varargin{3};
handles.movie4 = varargin{4};
handles.axesTitles = varargin{5};
handles.movieLength = length(handles.movie1);
if length(varargin) < 6 %check if previously saved data structure was passed to function
for nMovies = 1:4
for nFrames = 1:handles.movieLength
handles.data(nMovies).frame(nFrames).allDomains.x = [];
handles.data(nMovies).frame(nFrames).allDomains.y = [];
handles.data(nMovies).frame(nFrames).goodDomains.x = [];
handles.data(nMovies).frame(nFrames).goodDomains.y = [];
handles.data(nMovies).frame(nFrames).badDomains.x = [];
handles.data(nMovies).frame(nFrames).badDomains.y = [];
end
end
else
data = varargin{6};
for nMovies = 1:4
for nFrames = 1:handles.movieLength
handles.data(nMovies).frame(nFrames).allDomains.x = data(nMovies).frame(nFrames).allDomains.x;
handles.data(nMovies).frame(nFrames).allDomains.y = data(nMovies).frame(nFrames).allDomains.y;
handles.data(nMovies).frame(nFrames).goodDomains.x = data(nMovies).frame(nFrames).goodDomains.x;
handles.data(nMovies).frame(nFrames).goodDomains.y = data(nMovies).frame(nFrames).goodDomains.y;
handles.data(nMovies).frame(nFrames).badDomains.x = data(nMovies).frame(nFrames).badDomains.x;
handles.data(nMovies).frame(nFrames).badDomains.y = data(nMovies).frame(nFrames).badDomains.y;
end
end
end
% Set the current data value.
handles.currentFrame=1;
handles = plotImages_initialize(hObject, eventdata, handles);
set(handles.slider2,'Min',1) %determine and set range of slider
set(handles.slider2,'Max',handles.movieLength) %determine and set range of slider
set(handles.slider2,'SliderStep',[1/handles.movieLength 100/handles.movieLength]);
%-------END JBA EDIT-----------
% Choose default command line output for plotWholeBrainDomains
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes plotWholeBrainDomains wait for user response (see UIRESUME)
% uiwait(handles.figure1);
function handles = plotImages_initialize(hObject, eventdata, handles)
% hObject handle (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if islogical(handles.movie1)
handles.clims1 = [0 1];
else
% clear tmp; tmp = handles.movie1(:);
% handles.clims1 = [min(tmp) max(tmp)];
handles.clims1 = [0 255];
end
if islogical(handles.movie2)
handles.clims2 = [0 1];
else
clear tmp; tmp = handles.movie2(:);
handles.clims2 = [min(tmp) max(tmp)];
end
if islogical(handles.movie3)
handles.clims3 = [0 1];
else
clear tmp; tmp = handles.movie3(:);
handles.clims3 = [min(tmp) max(tmp)];
end
if islogical(handles.movie4)
handles.clims4 = [0 1];
else
clear tmp; tmp = handles.movie4(:);
handles.clims4 = [min(tmp) max(tmp)];
end
handles.current_data1 = handles.movie1(:,:,handles.currentFrame);
set(gcf,'CurrentAxes',handles.axes1)
imagesc(handles.current_data1,handles.clims1); axis image; colormap(gray); title(handles.axesTitles{1})
handles.current_data2 = handles.movie2(:,:,handles.currentFrame);
set(gcf,'CurrentAxes',handles.axes2)
imagesc(handles.current_data2,handles.clims2); axis image; colormap(gray); title(handles.axesTitles{2})
handles.current_data3 = handles.movie3(:,:,handles.currentFrame);
set(gcf,'CurrentAxes',handles.axes3)
imagesc(handles.current_data3,handles.clims3); axis image; colormap(gray); title(handles.axesTitles{3})
handles.current_data4 = handles.movie4(:,:,handles.currentFrame);
set(gcf,'CurrentAxes',handles.axes4)
imagesc(handles.current_data4,handles.clims4); axis image; colormap(gray); title(handles.axesTitles{4})
% Update handles structure
uicontrol(handles.slider2);
function plotImages(hObject, eventdata, handles)
% hObject handle (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
handles.current_data1 = handles.movie1(:,:,handles.currentFrame);
set(gcf,'CurrentAxes',handles.axes1)
imagesc(handles.current_data1,handles.clims1); title(handles.axesTitles{1})
hold on
plot(handles.data(1).frame(handles.currentFrame).allDomains.x,handles.data(1).frame(handles.currentFrame).allDomains.y,'og','MarkerSize',7);
plot(handles.data(1).frame(handles.currentFrame).goodDomains.x,handles.data(1).frame(handles.currentFrame).goodDomains.y,'om','MarkerSize',5,'MarkerFaceColor','m');
plot(handles.data(1).frame(handles.currentFrame).badDomains.x,handles.data(1).frame(handles.currentFrame).badDomains.y,'or','MarkerSize',5);
hold off
handles.current_data2 = handles.movie2(:,:,handles.currentFrame);
set(gcf,'CurrentAxes',handles.axes2)
imagesc(handles.current_data2,handles.clims2); title(handles.axesTitles{2})
hold on
plot(handles.data(2).frame(handles.currentFrame).allDomains.x,handles.data(2).frame(handles.currentFrame).allDomains.y,'og','MarkerSize',7);
plot(handles.data(2).frame(handles.currentFrame).goodDomains.x,handles.data(2).frame(handles.currentFrame).goodDomains.y,'om','MarkerSize',5,'MarkerFaceColor','m');
plot(handles.data(2).frame(handles.currentFrame).badDomains.x,handles.data(2).frame(handles.currentFrame).badDomains.y,'or','MarkerSize',5);
hold off
handles.current_data3 = handles.movie3(:,:,handles.currentFrame);
set(gcf,'CurrentAxes',handles.axes3)
imagesc(handles.current_data3,handles.clims3); title(handles.axesTitles{3})
hold on
plot(handles.data(3).frame(handles.currentFrame).allDomains.x,handles.data(3).frame(handles.currentFrame).allDomains.y,'og','MarkerSize',7);
plot(handles.data(3).frame(handles.currentFrame).goodDomains.x,handles.data(3).frame(handles.currentFrame).goodDomains.y,'om','MarkerSize',5,'MarkerFaceColor','m');
plot(handles.data(3).frame(handles.currentFrame).badDomains.x,handles.data(3).frame(handles.currentFrame).badDomains.y,'or','MarkerSize',5);
hold off
handles.current_data4 = handles.movie4(:,:,handles.currentFrame);
set(gcf,'CurrentAxes',handles.axes4)
imagesc(handles.current_data4,handles.clims4); title(handles.axesTitles{4})
hold on
plot(handles.data(4).frame(handles.currentFrame).allDomains.x,handles.data(4).frame(handles.currentFrame).allDomains.y,'og','MarkerSize',7);
plot(handles.data(4).frame(handles.currentFrame).goodDomains.x,handles.data(4).frame(handles.currentFrame).goodDomains.y,'om','MarkerSize',5,'MarkerFaceColor','m');
plot(handles.data(4).frame(handles.currentFrame).badDomains.x,handles.data(4).frame(handles.currentFrame).badDomains.y,'or','MarkerSize',5);
hold off
% Update handles structure
guidata(hObject, handles);
uicontrol(handles.slider2);
% --- Outputs from this function are returned to the command line.
function varargout = plotWholeBrainDomains_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
% --- Executes during object creation, after setting all properties.
function dataSelectMenu1_CreateFcn(hObject, eventdata, handles)
% hObject handle to dataSelectMenu1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: popupmenu controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
% --- Executes on slider movement.
function slider2_Callback(hObject, eventdata, handles)
% hObject handle to slider2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'Value') returns position of slider
% get(hObject,'Min') and get(hObject,'Max') to determine range of slider
currentValue = get(handles.slider2,'Value');
handles.currentFrame = floor(currentValue);
set(handles.frameNumberText1,'String',num2str(handles.currentFrame));
plotImages(hObject, eventdata, handles);
% Update handles structure
guidata(hObject, handles);
% --- Executes during object creation, after setting all properties.
function slider2_CreateFcn(hObject, eventdata, handles)
% hObject handle to slider2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor',[.9 .9 .9]);
end
function frameNumberText1_Callback(hObject, eventdata, handles)
% hObject handle to frameNumberText1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of frameNumberText1 as text
% str2double(get(hObject,'String')) returns contents of frameNumberText1 as a double
newFrame = str2double(get(hObject,'String')); %returns contents of frameNumberText1 as a double
if newFrame >= 1 && newFrame <= handles.movieLength
set(handles.slider2,'Value',newFrame);
slider2_Callback(hObject, eventdata, handles);
else
originalFrame=get(handles.SliderStepText,'String');
set(handles.frameNumberText1,'String', originalFrame);
end
% Update handles structure
guidata(hObject, handles);
uicontrol(handles.slider2);
% --- Executes during object creation, after setting all properties.
function frameNumberText1_CreateFcn(hObject, eventdata, handles)
% hObject handle to frameNumberText1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function SliderStepText_Callback(hObject, eventdata, handles)
% hObject handle to SliderStepText (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of SliderStepText as text
% str2double(get(hObject,'String')) returns contents of SliderStepText as a double
newStep = str2double(get(handles.SliderStepText,'String')); %returns contents of SliderStepText as a double
if newStep >= 1 && newStep <= handles.movieLength
set(handles.slider2,'SliderStep',[newStep/handles.movieLength 100/handles.movieLength]);
else
set(handles.slider2,'SliderStep',[1/handles.movieLength 100/handles.movieLength]);
set(handles.SliderStepText,'String', num2str(1));
end
% Update handles structure
guidata(hObject, handles);
uicontrol(handles.slider2);
% --- Executes during object creation, after setting all properties.
function SliderStepText_CreateFcn(hObject, eventdata, handles)
% hObject handle to SliderStepText (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
% --- Executes on key press with focus on figure1 and none of its controls.
function figure1_KeyPressFcn(hObject, eventdata, handles)
% hObject handle to figure1 (see GCBO)
% eventdata structure with the following fields (see FIGURE)
% Key: name of the key that was pressed, in lower case
% Character: character interpretation of the key(s) that was pressed
% Modifier: name(s) of the modifier key(s) (i.e., control, shift) pressed
% handles structure with handles and user data (see GUIDATA)
% str = get(handles.figure1_KeyPressFcn,'Key');
str = eventdata.Key;
if strcmp(str,'1') %add all true-positive domains markers from real data in green
[x,y] = ginput;
currAxis= get(hObject,'CurrentAxes');
if currAxis == handles.axes1
for nMovies = 1:4
handles.data(nMovies).frame(handles.currentFrame).allDomains.x = x;
handles.data(nMovies).frame(handles.currentFrame).allDomains.y = y;
end
end
plotImages(hObject, eventdata, handles)
% chi=get(currAxis,'Children');
% xdata=get(chi,'XData');
% ydata=get(chi,'YData');
% disp(xdata{1})
% disp(ydata{1})
% idx1 = xdata{1};
% idx1 = ydata{1};
elseif strcmp(str,'2') %add good domains markers in magenta
[x,y] = ginput;
currAxis= get(hObject,'CurrentAxes');
if currAxis == handles.axes2
handles.data(2).frame(handles.currentFrame).goodDomains.x = x;
handles.data(2).frame(handles.currentFrame).goodDomains.y = y;
elseif currAxis == handles.axes3
handles.data(3).frame(handles.currentFrame).goodDomains.x = x;
handles.data(3).frame(handles.currentFrame).goodDomains.y = y;
elseif currAxis == handles.axes4
handles.data(4).frame(handles.currentFrame).goodDomains.x = x;
handles.data(4).frame(handles.currentFrame).goodDomains.y = y;
else
return
end
plotImages(hObject, eventdata, handles)
elseif strcmp(str,'3') %add bad domains markers in red
[x,y] = ginput;
currAxis= get(hObject,'CurrentAxes');
if currAxis == handles.axes2
handles.data(2).frame(handles.currentFrame).badDomains.x = x;
handles.data(2).frame(handles.currentFrame).badDomains.y = y;
elseif currAxis == handles.axes3
handles.data(3).frame(handles.currentFrame).badDomains.x = x;
handles.data(3).frame(handles.currentFrame).badDomains.y = y;
elseif currAxis == handles.axes4
handles.data(4).frame(handles.currentFrame).badDomains.x = x;
handles.data(4).frame(handles.currentFrame).badDomains.y = y;
else
return
end
plotImages(hObject, eventdata, handles)
elseif strcmp(str,'d') %delete
[x,y] = ginput(1);
currAxis= get(hObject,'CurrentAxes');
if currAxis == handles.axes1
for nMovies = 1:4
handles.data(nMovies).frame(handles.currentFrame).allDomains.x = [];
handles.data(nMovies).frame(handles.currentFrame).allDomains.y = [];
end
elseif currAxis == handles.axes2
for nMovies = 1:4
handles.data(nMovies).frame(handles.currentFrame).allDomains.x = [];
handles.data(nMovies).frame(handles.currentFrame).allDomains.y = [];
end
handles.data(2).frame(handles.currentFrame).goodDomains.x = [];
handles.data(2).frame(handles.currentFrame).goodDomains.y = [];
handles.data(2).frame(handles.currentFrame).badDomains.x = [];
handles.data(2).frame(handles.currentFrame).badDomains.y = [];
elseif currAxis == handles.axes3
for nMovies = 1:4
handles.data(nMovies).frame(handles.currentFrame).allDomains.x = [];
handles.data(nMovies).frame(handles.currentFrame).allDomains.y = [];
end
handles.data(3).frame(handles.currentFrame).goodDomains.x = [];
handles.data(3).frame(handles.currentFrame).goodDomains.y = [];
handles.data(3).frame(handles.currentFrame).badDomains.x = [];
handles.data(3).frame(handles.currentFrame).badDomains.y = [];
elseif currAxis == handles.axes4
for nMovies = 1:4
handles.data(nMovies).frame(handles.currentFrame).allDomains.x = [];
handles.data(nMovies).frame(handles.currentFrame).allDomains.y = [];
end
handles.data(4).frame(handles.currentFrame).goodDomains.x = [];
handles.data(4).frame(handles.currentFrame).goodDomains.y = [];
handles.data(4).frame(handles.currentFrame).badDomains.x = [];
handles.data(4).frame(handles.currentFrame).badDomains.y = [];
else
return
end
plotImages(hObject, eventdata, handles)
else
return
end
guidata(hObject, handles);
% --- Executes on button press in pushbutton5.
function pushbutton5_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton5 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if isfield(handles,'dataFilename')
delete(dataFilename)
data = handles.data;
assignin('base', 'data', data)
handles.dataFilename = ['temp_plotWholeBrainDomains-data-' datestr(now,'yyyymmdd-HHMMSS') '.mat'];
save(handles.dataFilename,'data','-v7.3')
else
data = handles.data;
assignin('base', 'data', data)
handles.dataFilename = ['temp_plotWholeBrainDomains-data-' datestr(now,'yyyymmdd-HHMMSS') '.mat'];
save(handles.dataFilename,'data','-v7.3')
end
guidata(hObject, handles);
uicontrol(handles.slider2);
% --- Executes on button press in pushbutton6.
function pushbutton6_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton6 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
r = randi(handles.movieLength); %random integer on interval [1,nFrames]
% handles.currentFrame = r;
% plotImages(hObject, eventdata, handles)
% guidata(hObject, handles);
newFrame = r; %returns contents of frameNumberText1 as a double
if newFrame >= 1 && newFrame <= handles.movieLength
set(handles.slider2,'Value',newFrame);
slider2_Callback(hObject, eventdata, handles);
else
originalFrame=get(handles.SliderStepText,'String');
set(handles.frameNumberText1,'String', originalFrame);
end
% Update handles structure
guidata(hObject, handles);
uicontrol(handles.slider2);