Make circular 2D probe pos range -1 to 1

            if ~exist('name', 'var') || ~exist('value', 'var')

                retrun

            end                                     

            eval( sprintf('obj.tags.%s = ''%s''', name, value) )   

            eval( sprintf('obj.tags.%s = ''%s'';', name, value) )   

        end

            [x,y] = pol2cart(azimuth,elevation);      % get plane coordinates

            xy = [x y];

            xy = xy/norm_factor;               % set maximum to unit length

            xy = xy/2 + 0.5;

        end

        % -------------------------------------------------------

        function err = LoadProbe(obj, fileobj, ~)

            % get lenth unit through class method

            LengthUnit = obj.metaDataTags.Get('LengthUnit').value;

            LengthUnit = obj.metaDataTags.Get('LengthUnit');

            obj.probe = ProbeClass();

            err = obj.probe.LoadHdf5(fileobj, [obj.location, '/probe'], LengthUnit);

            obj.metaDataTags.Set('LengthUnit','mm');

% --------------------------------------------------------------------

function menuItemPlotProbe2_Callback(hObject, ~, handles)

global maingui

procElem = maingui.dataTree.currElem;

% Derived data that we want to save in a Snirf file.

% To save in a snirf file we need to create a SnirfClass

% object. A SnirfClass object is DataTree's implementation 

% of the Snirf format.  

data(1) = procElem.procStream.output.dcAvg; 

data(2) = procElem.procStream.output.dod;

% To complete SnirfClass object arguments we need to supply these

% which we get from acquired data of the first run associated with 

% our procElem.

probe = procElem.acquired.probe;

stim = procElem.acquired.stim;

metaDataTags = procElem.acquired.metaDataTags;

obj = SnirfClass(data, stim, probe, metaDataTags);

% call PlotProbe2 GUI

PlotProbe2(obj);

% global maingui

%%%% It will be in the next release

% procElem = maingui.dataTree.currElem;

% % Derived data that we want to save in a Snirf file.

% % To save in a snirf file we need to create a SnirfClass

% % object. A SnirfClass object is DataTree's implementation 

% % of the Snirf format.  

% data(1) = procElem.procStream.output.dcAvg; 

% data(2) = procElem.procStream.output.dod;

% 

% % To complete SnirfClass object arguments we need to supply these

% % which we get from acquired data of the first run associated with 

% % our procElem.

% probe = procElem.acquired.probe;

% stim = procElem.acquired.stim;

% metaDataTags = procElem.acquired.metaDataTags;

% 

% obj = SnirfClass(data, stim, probe, metaDataTags);

% 

% % call PlotProbe2 GUI

% PlotProbe2(obj);