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Crystalline_DataAnlys.m
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Crystalline_DataAnlys.m
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%------------------------------------------------------------------------------------------------
% Application: Crystalline Image and Data Analysis Framework
% Subroutine: Crystalline_DataAnlys
%
% Author
% --------
% Frederik Doerr, Aug 2020 (MATLAB R2020b)
% frederik.doerr(at)strath.ac.uk | CMAC (http://www.cmac.ac.uk/)
% Github: https://github.com/FrederikDoerr
function[MDB_Data,R_DataAnlys] = Crystalline_DataAnlys(Opt,Opt_DS,MDB_File,MDB_Img)
fprintf('%s - %s (%s) INITIATED (Elapsed time: %.0f sec)\n',Opt.ProjectShorthand,Opt_DS.ExpShorthand,mfilename(),toc(Opt.tic))
%% Graphs - File Processing
fig = figure('units','pixel','position',[100 100 Opt_DS.Graph.width Opt_DS.Graph.height]);
ax = axes('Parent',fig,...
'Position',[Opt_DS.Graph.ax_1,Opt_DS.Graph.ax_2,Opt_DS.Graph.ax_1_width,Opt_DS.Graph.ax_2_height]);
hold(ax,'on');
box(ax,'on');
ax.XAxis.Exponent = 0;
xtickformat('%.0f')
yyaxis left
ax.YColor = 'r';
plot(MDB_File.file_time_list,MDB_File.Temperature,'r-','DisplayName','Temperature')
xlabel('Time [s]')
ylabel('Temperature')
ax = gca;
ax.XLim = [min(MDB_File.file_time_list) max(MDB_File.file_time_list)];
yyaxis right
plot(MDB_File.file_time_list,MDB_File.Transmissivity,'g-','DisplayName','Transmissivity')
ax.YColor = 'g';
ylabel('Transmissivity')
print(fullfile(Opt_DS.path_ExportFolder_Exp,sprintf('%s_File_Temp_Trans',Opt_DS.ExpShorthand)),'-djpeg',Opt_DS.Graph.print_rS)
%% Find heating/cooling sequences from temperature profile
time = MDB_File.file_time_list(1:end);
Temperature = MDB_File.Temperature(1:end);
Temp_diff = movsum(gradient(Temperature,1),Opt_DS.DataPrc.k_movsum_Temp_diff);
% compensate for changing sampling rate
Temp_diff = Temp_diff./gradient(time);
Temp_diff_sm = sgolayfilt(Temp_diff, 1, Opt_DS.DataPrc.av_StepSize);
% Temp_diff for plotting [degC/min]
Temp_diff_sm_p = Temp_diff_sm./Opt_DS.DataPrc.k_movsum_Temp_diff*60;
fig = figure('units','pixel','position',[100 100 Opt_DS.Graph.width Opt_DS.Graph.height]);
ax = axes('Parent',fig,...
'Position',[Opt_DS.Graph.ax_1,Opt_DS.Graph.ax_2,Opt_DS.Graph.ax_1_width,Opt_DS.Graph.ax_2_height]);
hold(ax,'on');
box(ax,'on');
ax.XAxis.Exponent = 0;
xtickformat('%.0f')
ax.YColor = Opt_DS.Graph.Color_Seq_grey{1};
hold on
yyaxis left
plot(time,Temperature,'LineStyle','-','Color',Opt_DS.Graph.Color_Seq_grey{9},'LineWidth',1.5,'DisplayName','Temperature')
yyaxis right
plot(time,Temp_diff_sm_p,'LineStyle','-','Color',Opt_DS.Graph.Color_Seq_grey{5},'LineWidth',1.5,'DisplayName','Heating Rate')
ax = gca;
ax.XLim = [min(time) max(time)];
yyaxis left
ax.YColor = 'k';
yyaxis right
ax.YColor = 'k';
% Constant period
idx_Temp_const = find(abs(Temp_diff_sm) < 1e-4*Opt_DS.DataPrc.k_movsum_Temp_diff);
time_const = time(idx_Temp_const);
Temp_const = Temperature(idx_Temp_const);
Temp_const_diff = gradient(Temp_const,1);
Temp_const_diff_TF = isoutlier(Temp_const_diff,'movmean',length(Temp_const_diff));
idx_TF = find(Temp_const_diff_TF);
% Filter through temperatures that meet Temp_const_thres
idx_TF_DEL = [];
for i_TF = 1:length(idx_TF)
if abs(Temp_const_diff(idx_TF(i_TF))) < Opt_DS.DataPrc.Temp_const_thres
idx_TF_DEL = [idx_TF_DEL,i_TF]; %#ok<AGROW>
end
end
idx_TF(idx_TF_DEL) = [];
idx_TF = [1;idx_TF;length(Temp_const_diff_TF)];
% linear fit Temperature and error estimation
LinReg_Offset = 0.1;
p_list = nan(length(idx_TF)-1,2);
T_mean_list = nan(length(idx_TF)-1,1);
T_std_list = nan(length(idx_TF)-1,1);
idx_TF_list = nan(length(idx_TF)-1,2);
for i_TF = 1:length(idx_TF)-1
idx1 = idx_TF(i_TF);
idx2 = idx_TF(i_TF+1);
d_idx = idx2-idx1;
idx1 = floor(idx1 +d_idx*LinReg_Offset);
idx2 = ceil(idx2 -d_idx*LinReg_Offset);
if idx2-idx1 > 1
[p_list(i_TF,:),~,~] = polyfit(time_const(idx1:idx2),Temp_const(idx1:idx2),1);
T_mean_list(i_TF) = mean(Temp_const(idx1:idx2));
T_std_list(i_TF) = std(Temp_const(idx1:idx2));
idx_TF_list(i_TF,:) = [idx_Temp_const(idx1),idx_Temp_const(idx2)];
yyaxis left
plot(time(idx_TF_list(i_TF,1):idx_TF_list(i_TF,2)), ...
Temperature(idx_TF_list(i_TF,1):idx_TF_list(i_TF,2)),'r--','DisplayName','Temp Constant')
end
end
% Reove nan
idx_row_SEL = find(~isnan(T_mean_list));
idx_TF_list = idx_TF_list(idx_row_SEL,:);
T_mean_list = T_mean_list(idx_row_SEL,:);
T_std_list = T_std_list(idx_row_SEL,:);
% Find cooling/heating
Temp_Det_cooling = nan(length(T_mean_list)-1,1);
Temp_Det_heating = nan(length(T_mean_list)-1,1);
idx_Det_TempRamp_init = nan(length(T_mean_list)-1,1);
idx_Det_TempRamp_end = nan(length(T_mean_list)-1,1);
for i_TF = 1:length(T_mean_list)-1
idx2 = idx_TF_list(i_TF,2);
if i_TF < length(T_mean_list)
idx_nT = idx_TF_list(i_TF+1,1);
else
idx_nT = length(time);
end
idx = idx2;
while idx < idx_nT
Temperature(idx);
Res = abs(mean(Temperature(idx-5:idx+5)) - T_mean_list(i_TF));
if (Res > 5*T_std_list(i_TF) || Res > Opt_DS.DataPrc.Prc_Tthres) && Temperature(idx) > T_mean_list(i_TF)+4
Temp_Det_cooling(i_TF) = false;
Temp_Det_heating(i_TF) = true;
idx_Det_TempRamp_init(i_TF) = idx;
while idx < idx_nT && median(Temperature(idx-2:idx+2)) < T_mean_list(i_TF+1)-0.2
idx = idx +1;
end
idx_Det_TempRamp_end(i_TF) = idx;
% Refine transition points
numIdx_Temp = idx_Det_TempRamp_end(i_TF) - idx_Det_TempRamp_init(i_TF);
numIdx_Temp_offset = round(numIdx_Temp*0.25);
xi_time = time(idx_Det_TempRamp_init(i_TF)+numIdx_Temp_offset:idx_Det_TempRamp_end(i_TF)-numIdx_Temp_offset) - time(idx_Det_TempRamp_init(i_TF)+numIdx_Temp_offset);
yi_Temperature = Temperature(idx_Det_TempRamp_init(i_TF)+numIdx_Temp_offset:idx_Det_TempRamp_end(i_TF)-numIdx_Temp_offset);
[p_TempRamp,~] = polyfit(xi_time,yi_Temperature,1);
t_TempRamp_init_Corr = (T_mean_list(i_TF) - p_TempRamp(2))/p_TempRamp(1);
t_TempRamp_end_Corr = (T_mean_list(i_TF+1) - p_TempRamp(2))/p_TempRamp(1);
time_Det_TempRamp_init_fit = time(idx_Det_TempRamp_init(i_TF)+numIdx_Temp_offset) + t_TempRamp_init_Corr;
time_Det_TempRamp_init_end = time(idx_Det_TempRamp_init(i_TF)+numIdx_Temp_offset) + t_TempRamp_end_Corr;
idx_Det_TempRamp_init(i_TF) = find(abs(time-time_Det_TempRamp_init_fit) == min(abs(time-time_Det_TempRamp_init_fit)),1,'first');
idx_Det_TempRamp_end(i_TF) = find(abs(time-time_Det_TempRamp_init_end) == min(abs(time-time_Det_TempRamp_init_end)),1,'first');
line([time(idx_Det_TempRamp_init(i_TF)),time(idx_Det_TempRamp_init(i_TF))],[min(Temperature),max(Temperature)],'Color','red')
line([time(idx_Det_TempRamp_end(i_TF)),time(idx_Det_TempRamp_end(i_TF))],[min(Temperature),max(Temperature)],'Color','red')
time_Det_grad_init = time(idx_Det_TempRamp_init(i_TF));
time_Det_grad_end = time(idx_Det_TempRamp_end(i_TF));
Heat_ramp = (Temperature(idx_Det_TempRamp_end(i_TF)) - Temperature(idx_Det_TempRamp_init(i_TF)))/(time_Det_grad_end-time_Det_grad_init);
text(time(idx)+time(idx)*0.03,max(Temperature)+(max(Temperature)-min(Temperature))*-0.1, ...
sprintf('Heating Seq:\nT = %.2f > %.2f\nHeatRate %.4f K/s\nHeatRate %.2f K/min',Temperature(idx_Det_TempRamp_init(i_TF)),Temperature(idx_Det_TempRamp_end(i_TF)), ...
Heat_ramp,Heat_ramp*60),'Color','r','FontSize',4)
break
elseif (Res > 5*T_std_list(i_TF) || Res > Opt_DS.DataPrc.Prc_Tthres) && Temperature(idx) < T_mean_list(i_TF)-4
Temp_Det_cooling(i_TF) = true;
Temp_Det_heating(i_TF) = false;
idx_Det_TempRamp_init(i_TF) = idx;
while idx < idx_nT && median(Temperature(idx-2:idx+2)) > T_mean_list(i_TF+1)+0.2
idx = idx +1;
end
idx_Det_TempRamp_end(i_TF) = idx;
% Refine transition points
numIdx_Temp = idx_Det_TempRamp_end(i_TF) - idx_Det_TempRamp_init(i_TF);
numIdx_Temp_offset = round(numIdx_Temp*0.35);
xi_time = time(idx_Det_TempRamp_init(i_TF)+numIdx_Temp_offset:idx_Det_TempRamp_end(i_TF)-numIdx_Temp_offset) - time(idx_Det_TempRamp_init(i_TF)+numIdx_Temp_offset);
yi_Temperature = Temperature(idx_Det_TempRamp_init(i_TF)+numIdx_Temp_offset:idx_Det_TempRamp_end(i_TF)-numIdx_Temp_offset);
[p_TempRamp,~] = polyfit(xi_time,yi_Temperature,1);
t_TempRamp_init_Corr = (T_mean_list(i_TF) - p_TempRamp(2))/p_TempRamp(1);
t_TempRamp_end_Corr = (T_mean_list(i_TF+1) - p_TempRamp(2))/p_TempRamp(1);
time_Det_TempRamp_init_fit = time(idx_Det_TempRamp_init(i_TF)+numIdx_Temp_offset) + t_TempRamp_init_Corr;
time_Det_TempRamp_init_end = time(idx_Det_TempRamp_init(i_TF)+numIdx_Temp_offset) + t_TempRamp_end_Corr;
idx_Det_TempRamp_init(i_TF) = find(abs(time-time_Det_TempRamp_init_fit) == min(abs(time-time_Det_TempRamp_init_fit)),1,'first');
idx_Det_TempRamp_end(i_TF) = find(abs(time-time_Det_TempRamp_init_end) == min(abs(time-time_Det_TempRamp_init_end)),1,'first');
line([time(idx_Det_TempRamp_init(i_TF)),time(idx_Det_TempRamp_init(i_TF))],[min(Temperature),max(Temperature)],'Color','blue')
line([time(idx_Det_TempRamp_end(i_TF)),time(idx_Det_TempRamp_end(i_TF))],[min(Temperature),max(Temperature)],'Color','blue')
time_Det_grad_init = time(idx_Det_TempRamp_init(i_TF));
time_Det_grad_end = time(idx_Det_TempRamp_end(i_TF));
Heat_ramp = (Temperature(idx_Det_TempRamp_end(i_TF)) - Temperature(idx_Det_TempRamp_init(i_TF)))/(time_Det_grad_end-time_Det_grad_init);
text(time(idx)+time(idx)*0.03,min(Temperature)+(max(Temperature)-min(Temperature))*+0.1, ...
sprintf('Cooling Seq:\nT = %.2f > %.2f\nHeatRate %.4f K/s\nHeatRate %.2f K/min',Temperature(idx_Det_TempRamp_init(i_TF)),Temperature(idx_Det_TempRamp_end(i_TF)), ...
Heat_ramp,Heat_ramp*60),'Color','b','FontSize',4)
break
end
idx = idx +1;
end
end
xlabel('Time [s]')
yyaxis left
ylabel('Temperature [degC]')
yyaxis right
ylabel('Heating Rate [degC/min]')
print(fullfile(Opt_DS.path_ExportFolder_Exp,sprintf('%s_ImgAnlys_Heat_Cool_Det',Opt_DS.ExpShorthand)),'-djpeg',Opt_DS.Graph.print_rS)
%% Image tags: 0 = constant temperature, 1 = heating, -1 = cooling
num_TempStep = sum(~isnan(Temp_Det_cooling));
Temp_mode_Img = zeros(length(MDB_Img.Img_PrcIdx),1);
Temp_mode_File = zeros(length(time),1);
for k =1:num_TempStep
if Temp_Det_heating(k)
Temp_mode_File(idx_Det_TempRamp_init(k):idx_Det_TempRamp_end(k)) = 1;
else
Temp_mode_File(idx_Det_TempRamp_init(k):idx_Det_TempRamp_end(k)) = -1;
end
idx_Img_grad_t1 = find(abs(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_init(k)))) == min(abs(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_init(k))))),1,'last');
idx_Img_grad_t2 = find(abs(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_end(k)))) == min(abs(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_end(k))))),1,'first');
if Temp_Det_heating(k)
Temp_mode_Img(idx_Img_grad_t1:idx_Img_grad_t2) = 1;
else
Temp_mode_Img(idx_Img_grad_t1:idx_Img_grad_t2) = -1;
end
end
%% Detect in-sample PLS calibration for crsytal suspension density estimation
% Conditions:
% 1) series of heating steps (no cooling), min 3 consecutive heating stages
% 2) first heating after exp start
PLS_logic = zeros(length(Temp_Det_heating),1);
T_mean_grad = gradient(T_mean_list);
iter = 1;
while iter < length(Temp_Det_heating) && ...
T_mean_grad(iter) > 0
PLS_logic(iter) = true;
iter = iter+1;
end
% Assuming at least PLS_logic_nStages_min consequtive heating stages to idicate PLSR Data
PLS_logic_Img = zeros(length(MDB_Img.Img_PrcIdx),1);
if sum(PLS_logic) > Opt_DS.DataPrc.PLS_logic_nStages_min
% Isolate PLS dataset
i_c = find(PLS_logic,1,'last')+1;
idx_Img_grad_t1 = find(abs(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_init(1)))) == min(abs(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_init(1))))),1,'last');
idx_Img_grad_t2 = find(abs(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_init(i_c)))) == min(abs(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_init(i_c))))),1,'first')-1;
idx_File_grad_t1 = find(abs(time-(time(idx_Det_TempRamp_init(1)))) == min(abs(time-(time(idx_Det_TempRamp_init(1))))),1,'last');
idx_File_grad_t2 = find(abs(time-(time(idx_Det_TempRamp_init(i_c)))) == min(abs(time-(time(idx_Det_TempRamp_init(i_c))))),1,'first')-1;
% Clip data
PLS_logic_Img(idx_Img_grad_t1:idx_Img_grad_t2) = 1;
MDB_Img_PLSR = MDB_Img(idx_Img_grad_t1:idx_Img_grad_t2,:);
File_PLSR = MDB_File(idx_File_grad_t1:idx_File_grad_t2,:);
save(fullfile(Opt_DS.path_ExportFolder_Exp,sprintf('%s_PLSR_Data_MDB_Img.mat',Opt_DS.ExpShorthand)), 'MDB_Img_PLSR');
save(fullfile(Opt_DS.path_ExportFolder_Exp,sprintf('%s_PLSR_Data_File.mat',Opt_DS.ExpShorthand)), 'File_PLSR');
end
%% Analysis Heating / Cooling Steps
num_TempStep = sum(~isnan(Temp_Det_cooling));
Opt.num_TempStep = sum(~isnan(Temp_Det_cooling));
% Preallocation Data lists
HeatDet_list = nan(num_TempStep,1);
CoolDet_list = nan(num_TempStep,1);
HeatRate_list = nan(num_TempStep,1);
T_Const_1_list = nan(num_TempStep,1);
T_Const_2_list = nan(num_TempStep,1);
time_File_grad_init = nan(num_TempStep,1);
time_File_grad_end = nan(num_TempStep,1);
numImg_list = nan(num_TempStep,1);
Nuc_Time_abs_File_list = nan(num_TempStep,1);
Nuc_Time_Ind_File_list = nan(num_TempStep,1);
Nuc_Time_Ind_File_Err_list = nan(num_TempStep,1);
Nuc_Img_name_File_list = cell(num_TempStep,1);
Nuc_Time_abs_Img_list = nan(num_TempStep,1);
Nuc_Time_Ind_Img_list = nan(num_TempStep,1);
Nuc_Time_Ind_Img_Err_list = nan(num_TempStep,1);
Nuc_Img_name_Img_list = cell(num_TempStep,1);
Nuc_Temp_Img_list = nan(num_TempStep,1);
Nuc_Temp_File_list = nan(num_TempStep,1);
Nuc_Img_IsoThermal_list = nan(num_TempStep,1);
Nuc_File_IsoThermal_list = nan(num_TempStep,1);
Growth_PSD_3_25_list = nan(num_TempStep,1);
Growth_PSD_3_25_Err_list = nan(num_TempStep,1);
Growth_PSD_3_50_list = nan(num_TempStep,1);
Growth_PSD_3_50_Err_list = nan(num_TempStep,1);
Growth_PSD_3_75_list = nan(num_TempStep,1);
Growth_PSD_3_75_Err_list = nan(num_TempStep,1);
Growth_PSD_3_90_list = nan(num_TempStep,1);
Growth_PSD_3_90_Err_list = nan(num_TempStep,1);
for i_c = 1:num_TempStep
% Clear and re-create result structure
clearvars R_ic
R_ic = struct();
R_ic.num_idx_ext = 0;
% Extend sequence 1) to last image or 2) 30 seconds before following
if i_c == num_TempStep
R_ic.Ramp_t_ext = MDB_Img.Img_time_s(end)-time(idx_Det_TempRamp_end(i_c));
else
R_ic.Ramp_t_ext = time(idx_Det_TempRamp_init(i_c+1))-time(idx_Det_TempRamp_end(i_c))-30;
end
% Start sequence 1) at first image, 2) end point of previous TempRamp
% or 3) 5 mins before start TempRamp
ro = -5*60;
if i_c == 1
if idx_Det_TempRamp_init(i_c)+ro < 0
R_ic.Ramp_t_offset = MDB_Img.Img_time_s(1);
else
R_ic.Ramp_t_offset = ro;
end
elseif idx_Det_TempRamp_init(i_c)+ro < idx_Det_TempRamp_end(i_c-1)
R_ic.Ramp_t_offset = time(idx_Det_TempRamp_end(i_c))+1;
else
R_ic.Ramp_t_offset = ro;
end
HeatDet_list(i_c) = Temp_Det_heating(i_c);
CoolDet_list(i_c) = Temp_Det_cooling(i_c);
T_Const_1_list(i_c) = T_mean_list(i_c);
T_Const_2_list(i_c) = T_mean_list(i_c+1);
R_ic.idx_Img_grad_t1 = find(abs(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_init(i_c)))) == min(abs(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_init(i_c))))),1,'last');
R_ic.idx_Img_grad_t2 = find(abs(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_end(i_c)))) == min(abs(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_end(i_c))))),1,'first');
R_ic.idx_File_grad_t1 = find(abs(time-(time(idx_Det_TempRamp_init(i_c)))) == min(abs(time-(time(idx_Det_TempRamp_init(i_c))))),1,'last');
R_ic.idx_File_grad_t2 = find(abs(time-(time(idx_Det_TempRamp_end(i_c)))) == min(abs(time-(time(idx_Det_TempRamp_end(i_c))))),1,'first');
time_File_grad_init(i_c) = time(R_ic.idx_File_grad_t1);
time_File_grad_end(i_c) = time(R_ic.idx_File_grad_t2);
[R_ic.p_HeatRate,R_ic.S_HeatRate] = polyfit(time(R_ic.idx_File_grad_t1:R_ic.idx_File_grad_t2),Temperature(R_ic.idx_File_grad_t1:R_ic.idx_File_grad_t2),1);
HeatRate_list(i_c) = R_ic.p_HeatRate(1); % K/s
%% Identify cooling phase
R_ic.idx_Img_t1 = find(abs(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_init(i_c))+R_ic.Ramp_t_offset)) == min(abs(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_init(i_c))+R_ic.Ramp_t_offset))),1,'first');
R_ic.idx_Img_t2_max = find(MDB_Img.Img_time_s-(time(idx_Det_TempRamp_end(i_c))+R_ic.Ramp_t_ext)<0,1,'last');
R_ic.idx_Img_t2 = find(abs(MDB_Img.Img_time_s(1:R_ic.idx_Img_t2_max)-(time(idx_Det_TempRamp_end(i_c))+R_ic.Ramp_t_ext)) == min(abs(MDB_Img.Img_time_s(1:R_ic.idx_Img_t2_max)-(time(idx_Det_TempRamp_end(i_c))+R_ic.Ramp_t_ext))),1,'first');
if R_ic.idx_Img_t2+R_ic.num_idx_ext > size(MDB_Img.Img_time_s,1)
R_ic.idx_Img_t2 = size(MDB_Img.Img_time_s,1)-Opt_DS.DataPrc.l_movAvg-1;
else
R_ic.idx_Img_t2 = R_ic.idx_Img_t2+R_ic.num_idx_ext-Opt_DS.DataPrc.l_movAvg-1;
end
R_ic.idx_Img = R_ic.idx_Img_t1:1:R_ic.idx_Img_t2;
% Match with file
R_ic.idx_File_PSD_t1 = find(abs(MDB_File.file_PSD_time_list-(time(idx_Det_TempRamp_init(i_c))+R_ic.Ramp_t_offset)) == min(abs(MDB_File.file_PSD_time_list-(time(idx_Det_TempRamp_init(i_c))+R_ic.Ramp_t_offset))),1,'last');
R_ic.idx_File_PSD_t2 = find(abs(MDB_File.file_PSD_time_list-(time(idx_Det_TempRamp_end(i_c))+R_ic.Ramp_t_ext)) == min(abs(MDB_File.file_PSD_time_list-(time(idx_Det_TempRamp_end(i_c))+R_ic.Ramp_t_ext))),1,'first');
if R_ic.idx_File_PSD_t2+R_ic.num_idx_ext > size(MDB_File.file_PSD_time_list,1)
R_ic.idx_File_PSD_t2 = size(MDB_File.file_PSD_time_list,1);
else
R_ic.idx_File_PSD_t2 = R_ic.idx_File_PSD_t2+R_ic.num_idx_ext;
end
R_ic.idx_File_PSD = R_ic.idx_File_PSD_t1:1:R_ic.idx_File_PSD_t2;
idx_File_t1 = find(abs(MDB_File.file_time_list-(time(idx_Det_TempRamp_init(i_c))+R_ic.Ramp_t_offset)) == min(abs(MDB_File.file_time_list-(time(idx_Det_TempRamp_init(i_c))+R_ic.Ramp_t_offset))),1,'last');
idx_File_t2 = find(abs(MDB_File.file_time_list-(time(idx_Det_TempRamp_end(i_c))+R_ic.Ramp_t_ext)) == min(abs(MDB_File.file_time_list-(time(idx_Det_TempRamp_end(i_c))+R_ic.Ramp_t_ext))),1,'first');
if idx_File_t2+R_ic.num_idx_ext > size(MDB_File.file_time_list,1)
idx_File_t2 = size(MDB_File.file_time_list,1);
else
idx_File_t2 = idx_File_t2+R_ic.num_idx_ext;
end
idx_File = idx_File_t1:1:idx_File_t2;
%% Images collected for DataAnlys
R_ic.numImg = length(R_ic.idx_Img);
numImg_list(i_c) = R_ic.numImg;
%%% Images within sensible range:
% timestamp of last image before temperature ramp starts? i.e. ramp not
% imaged
if time(idx_Det_TempRamp_init(i_c)) > MDB_Img.Img_time_s(R_ic.idx_Img_t2)
warning('%s: timestamp of last image before temperature ramp starts! (skipped)',mfilename())
continue
% dataset with less than 51 images?
elseif R_ic.numImg < 51
warning('%s: less than 51 images for data anlysis step! (skipped)',mfilename())
continue
end
%% Clip Datatset
Img_time_c = MDB_Img.Img_time_s(R_ic.idx_Img);
Img_PSD_10_c = MDB_Img.PSD_10(R_ic.idx_Img);
Img_PSD_50_c = MDB_Img.PSD_50(R_ic.idx_Img);
Img_PSD_90_c = MDB_Img.PSD_90(R_ic.idx_Img);
Img_FM_GLLV_c = MDB_Img.FM_GLLV(R_ic.idx_Img);
Img_FM_GLLV_c_min = min(Img_FM_GLLV_c);
Img_FM_GLLV_c_max = max(Img_FM_GLLV_c);
Img_FM_GLLV_c_norm = (Img_FM_GLLV_c-Img_FM_GLLV_c_min)./(Img_FM_GLLV_c_max-Img_FM_GLLV_c_min);
Img_FM_HELM_c = MDB_Img.FM_HELM_005(R_ic.idx_Img);
Img_FM_HELM_c_min = min(Img_FM_HELM_c);
Img_FM_HELM_c_max = max(Img_FM_HELM_c);
Img_FM_HELM_c_norm = (Img_FM_HELM_c-Img_FM_HELM_c_min)./(Img_FM_HELM_c_max-Img_FM_HELM_c_min);
Img_FM_GLLV_bk_median = median((MDB_Img.FM_GLLV(Opt_DS.ImgPrc.bk_idx)-Img_FM_GLLV_c_min)./(Img_FM_GLLV_c_max-Img_FM_GLLV_c_min));
Img_FM_GLLV_bk_std = std((MDB_Img.FM_GLLV(Opt_DS.ImgPrc.bk_idx)-Img_FM_GLLV_c_min)./(Img_FM_GLLV_c_max-Img_FM_GLLV_c_min));
Img_FM_HELM_bk_median = median((MDB_Img.FM_HELM_005(Opt_DS.ImgPrc.bk_idx)-Img_FM_HELM_c_min)./(Img_FM_HELM_c_max-Img_FM_HELM_c_min));
Img_FM_HELM_bk_std = std((MDB_Img.FM_HELM_005(Opt_DS.ImgPrc.bk_idx)-Img_FM_HELM_c_min)./(Img_FM_HELM_c_max-Img_FM_HELM_c_min));
if Img_FM_HELM_bk_std < 1e-5
Img_FM_HELM_bk_std = 1e-5;
end
Img_Int_median_c = MDB_Img.Int_median(R_ic.idx_Img);
file_PSD_time_c = MDB_File.file_PSD_time_list(R_ic.idx_File_PSD);
file_PSD_D10_c = MDB_File.PSD_D10(R_ic.idx_File_PSD);
file_PSD_D50_c = MDB_File.PSD_D50(R_ic.idx_File_PSD);
file_PSD_D90_c = MDB_File.PSD_D90(R_ic.idx_File_PSD);
file_time_c = MDB_File.file_time_list(idx_File);
file_Transmissivity_c = MDB_File.Transmissivity(idx_File)./100;
file_Temperature_c = MDB_File.Temperature(idx_File);
%% Graphs
if any(~isnan(Img_PSD_10_c))
fig = figure('units','pixel','position',[100 100 Opt_DS.Graph.width Opt_DS.Graph.height]);
ax = axes('Parent',fig,...
'Position',[Opt_DS.Graph.ax_1,Opt_DS.Graph.ax_2,Opt_DS.Graph.ax_1_width,Opt_DS.Graph.ax_2_height]);
hold(ax,'on');
box(ax,'on');
ax.XAxis.Exponent = 0;
xtickformat('%.0f')
ax.YColor = Opt_DS.Graph.Color_Seq_grey{1};
hold on
hold on
plot(Img_time_c,Img_PSD_10_c, ...
'LineStyle','-','Color','g','DisplayName','PSD_10 (Img)')
plot(Img_time_c,Img_PSD_50_c, ...
'LineStyle','-','Color','b','DisplayName','PSD_50 (Img)')
plot(Img_time_c,Img_PSD_90_c, ...
'LineStyle','-','Color','r','DisplayName','PSD_90 (Img)')
plot(file_PSD_time_c,file_PSD_D10_c, ...
'LineStyle','--','Color','k','DisplayName','PSD_10 (File)')
plot(file_PSD_time_c,file_PSD_D50_c, ...
'LineStyle','--','Color','k','DisplayName','PSD_50 (File)')
plot(file_PSD_time_c,file_PSD_D90_c, ...
'LineStyle','--','Color','k','DisplayName','PSD_90 (File)')
axis([min([Img_time_c;file_PSD_time_c]),max([Img_time_c;file_PSD_time_c]),-Inf,Inf])
lgd = legend();
lgd.Interpreter = 'none';
lgd.Location = 'NorthEast';
xlabel('Time [s]')
ylabel('Size [µm]')
print(fullfile(Opt_DS.path_ExportFolder_Exp,sprintf('%s_ImgAnlys_PSD_Trend_i_c_%.0f',Opt_DS.ExpShorthand,i_c)),'-djpeg',Opt_DS.Graph.print_rS)
end
%% Nucleation and Growth Analysis - Local Average
if Opt_DS.PSD_Anlys_On
numObj_movAvg = zeros(R_ic.idx_Img_t2-R_ic.idx_Img_t1+1,1);
numObj = zeros(R_ic.idx_Img_t2-R_ic.idx_Img_t1+1,1);
area_Mean_movAvg = zeros(R_ic.idx_Img_t2-R_ic.idx_Img_t1+1,1);
d_eqSph_Mean_movAvg = zeros(R_ic.idx_Img_t2-R_ic.idx_Img_t1+1,1);
PSD_3_d10_movAvg = zeros(R_ic.idx_Img_t2-R_ic.idx_Img_t1+1,1);
PSD_3_d25_movAvg = zeros(R_ic.idx_Img_t2-R_ic.idx_Img_t1+1,1);
PSD_3_d50_movAvg = zeros(R_ic.idx_Img_t2-R_ic.idx_Img_t1+1,1);
PSD_3_d75_movAvg = zeros(R_ic.idx_Img_t2-R_ic.idx_Img_t1+1,1);
PSD_3_d90_movAvg = zeros(R_ic.idx_Img_t2-R_ic.idx_Img_t1+1,1);
PSD_3_Span_movAvg = zeros(R_ic.idx_Img_t2-R_ic.idx_Img_t1+1,1);
PSD_D_43_movAvg = zeros(R_ic.idx_Img_t2-R_ic.idx_Img_t1+1,1);
PSD_D_43_Std_movAvg = zeros(R_ic.idx_Img_t2-R_ic.idx_Img_t1+1,1);
numiter = R_ic.idx_Img_t2 - R_ic.idx_Img_t1;
k_Fig_Print_On = R_ic.idx_Img_t1+round(0:numiter/10:numiter);
for k = R_ic.idx_Img_t1:R_ic.idx_Img_t2
k_idx = k - R_ic.idx_Img_t1+1;
idx = R_ic.idx_Img(k_idx)-Opt_DS.Img_ObjPara.l_movAvg:R_ic.idx_Img(k_idx)+Opt_DS.Img_ObjPara.l_movAvg;
area = MDB_SiPa.area(ismember(MDB_SiPa.Img_PrcIdx,idx));
area_movAvg = area(~isnan(area));
area_Mean_movAvg(k_idx) = mean(area_movAvg);
d_eqSph_movAvg = (area_movAvg./pi()).^(0.5).*2;
d_eqSph_Mean_movAvg(k_idx) = mean(d_eqSph_movAvg);
numObj(k_idx) = size(d_eqSph_movAvg,1);
numImg = length(idx);
numObj_movAvg(k_idx) = numObj(k_idx)/numImg;
if numObj(k_idx) > Opt.Img_ObjPara.PSD_calc_numThres
Opt_PSD_Calc = Opt.Img_ObjPara;
if any(k == k_Fig_Print_On) && Opt_PSD_Calc.Fig_Print_On
Opt_PSD_Calc.Fig_Print_On = true;
Opt_PSD_Calc.Graph_name = sprintf('%s_ImgAnlys_PSD_Calc_i_c_%.0f_movAvg_k_%.0f',Opt_DS.ExpShorthand,i_c,k);
else
Opt_PSD_Calc.Fig_Print_On = false;
end
addpath(Opt.path_FileExchange)
[PSD_3_d25_movAvg(k_idx),PSD_3_d50_movAvg(k_idx),PSD_3_d75_movAvg(k_idx),PSD_3_Span_movAvg(k_idx),R] = Crystalline_PSD_Calc(d_eqSph_movAvg,Opt_PSD_Calc);
PSD_3_d10_movAvg(k_idx) = R.PSD_3_d10;
PSD_3_d90_movAvg(k_idx) = R.PSD_3_d90;
PSD_D_43_movAvg(k_idx) = R.D_43;
PSD_D_43_Std_movAvg(k_idx) = R.D_43_StdDev;
end
end
end
close all
%% Nucleation and Growth estimation
% % % % % % % % % % % % % % % % % % % % %
% Nucleation Detection:
R_ic.Nuc_Time_File_offset = idx_Det_TempRamp_end(i_c);
R_ic.Nuc_Time_Img_offset = idx_Det_TempRamp_end(i_c);
Img_FM_GLLV_c_norm_sm = hampel(Img_FM_GLLV_c_norm,Opt_DS.NucDet.k_hampel,Opt_DS.NucDet.k_sigma);
Img_FM_GLLV_c_norm_sm = sgolayfilt(Img_FM_GLLV_c_norm_sm, 1, Opt_DS.NucDet.k_sgolayfilt);
Img_FM_HELM_c_norm_sm = hampel(Img_FM_HELM_c_norm,Opt_DS.NucDet.k_hampel,Opt_DS.NucDet.k_sigma);
Img_FM_HELM_c_norm_sm = sgolayfilt(Img_FM_HELM_c_norm_sm, 1, Opt_DS.NucDet.k_sgolayfilt);
file_Transmissivity_c_sm = hampel(file_Transmissivity_c,Opt_DS.NucDet.k_hampel_Transmissivity,Opt_DS.NucDet.k_sigma_Transmissivity);
file_Transmissivity_c_sm = sgolayfilt(file_Transmissivity_c_sm, 1, Opt_DS.NucDet.k_sgolayfilt_Transmissivity);
if CoolDet_list(i_c)
% Check if:
% (1) clear at start (Img Feature values(1:15)) and
% (2) cloudy at end (Img Feature values(end-15:end))
if (any(Img_FM_HELM_c_norm_sm(end-15:end) > Img_FM_HELM_bk_median + 4*Img_FM_HELM_bk_std) || ...
any(Img_FM_HELM_c_norm_sm(end-15:end) < Img_FM_HELM_bk_median - 4*Img_FM_HELM_bk_std)) && ...
(any(Img_FM_HELM_c_norm_sm(1:15) < Img_FM_HELM_bk_median + 4*Img_FM_HELM_bk_std) && ...
any(Img_FM_HELM_c_norm_sm(1:15) > Img_FM_HELM_bk_median - 4*Img_FM_HELM_bk_std))
R_ic.idx_Img_FM_GLLV_Nuc = find((MDB_Img.Int_median(R_ic.idx_Img) > Opt_DS.ImgPrc.Img_Int_median_thres)& ...
((Img_FM_GLLV_c_norm_sm > Img_FM_GLLV_bk_median + 4*Img_FM_GLLV_bk_std)|(Img_FM_GLLV_c_norm_sm < Img_FM_GLLV_bk_median - 4*Img_FM_GLLV_bk_std)),1,'first');
R_ic.idx_Img_FM_HELM_Nuc = find((MDB_Img.Int_median(R_ic.idx_Img) > Opt_DS.ImgPrc.Img_Int_median_thres)& ...
((Img_FM_HELM_c_norm_sm > Img_FM_HELM_bk_median + 4*Img_FM_HELM_bk_std)|(Img_FM_HELM_c_norm_sm < Img_FM_HELM_bk_median - 4*Img_FM_HELM_bk_std)),1,'first');
if ~isempty(R_ic.idx_Img_FM_HELM_Nuc)
R_ic.idx_Img_Nuc = R_ic.idx_Img_FM_HELM_Nuc;
else
R_ic.idx_Img_Nuc = [];
end
else
R_ic.idx_Img_FM_GLLV_Nuc = [];
R_ic.idx_Img_FM_HELM_Nuc = [];
R_ic.idx_Img_Nuc = [];
end
% clear at start (> 0.999)
if (median(file_Transmissivity_c_sm(1:15)) > 0.999)
R_ic.idx_file_Transmissivity_Nuc = find((file_Transmissivity_c_sm < 0.999) ,1,'first');
else
R_ic.idx_file_Transmissivity_Nuc = [];
end
elseif HeatDet_list(i_c)
% Equal to cloud point detection but with reversed direction
Img_FM_HELM_c_norm_sm_rev = flip(Img_FM_HELM_c_norm_sm);
Img_FM_GLLV_c_norm_sm_rev = flip(Img_FM_GLLV_c_norm_sm);
Img_Int_median_c_rev = flip(Img_Int_median_c);
% Check if:
% (1) cloudy at start (Img Feature values(1:15)) and
% (2) clear at end (Img Feature values rev(1:15))
if (any(Img_FM_HELM_c_norm_sm(1:15) > Img_FM_HELM_bk_median + 4*Img_FM_HELM_bk_std) || ...
any(Img_FM_HELM_c_norm_sm(1:15) < Img_FM_HELM_bk_median - 4*Img_FM_HELM_bk_std)) && ...
(any(Img_FM_HELM_c_norm_sm_rev(1:15) < Img_FM_HELM_bk_median + 4*Img_FM_HELM_bk_std) && ...
any(Img_FM_HELM_c_norm_sm_rev(1:15) > Img_FM_HELM_bk_median - 4*Img_FM_HELM_bk_std))
R_ic.idx_Img_FM_GLLV_Nuc = length(Img_FM_GLLV_c_norm_sm_rev) - find((Img_Int_median_c_rev > Opt_DS.ImgPrc.Img_Int_median_thres)& ...
((Img_FM_GLLV_c_norm_sm_rev > Img_FM_GLLV_bk_median + 4*Img_FM_GLLV_bk_std)|(Img_FM_GLLV_c_norm_sm_rev < Img_FM_GLLV_bk_median - 4*Img_FM_GLLV_bk_std)),1,'first');
R_ic.idx_Img_FM_HELM_Nuc = length(Img_FM_HELM_c_norm_sm_rev) - find((Img_Int_median_c_rev > Opt_DS.ImgPrc.Img_Int_median_thres)& ...
((Img_FM_HELM_c_norm_sm_rev > Img_FM_HELM_bk_median + 4*Img_FM_HELM_bk_std)|(Img_FM_HELM_c_norm_sm_rev < Img_FM_HELM_bk_median - 4*Img_FM_HELM_bk_std)),1,'first');
if ~isempty(R_ic.idx_Img_FM_HELM_Nuc)
R_ic.idx_Img_Nuc = R_ic.idx_Img_FM_HELM_Nuc;
else
R_ic.idx_Img_Nuc = [];
end
else
R_ic.idx_Img_FM_GLLV_Nuc = [];
R_ic.idx_Img_FM_HELM_Nuc = [];
R_ic.idx_Img_Nuc = [];
end
% clear at start (< 0.999)
if (median(file_Transmissivity_c_sm(1:15)) < 0.999)
R_ic.idx_file_Transmissivity_Nuc = find(file_Transmissivity_c_sm > 0.999 ,1,'first');
else
R_ic.idx_file_Transmissivity_Nuc = [];
end
end
%% Save Nucleation Descriptors
if ~isempty(R_ic.idx_file_Transmissivity_Nuc)
Nuc_Time_abs_File_list(i_c) = file_time_c(R_ic.idx_file_Transmissivity_Nuc);
Nuc_Time_Ind_File_list(i_c) = file_time_c(R_ic.idx_file_Transmissivity_Nuc) - R_ic.Nuc_Time_File_offset;
Nuc_Time_Ind_File_Err_list(i_c) = nan;
Nuc_Temp_File_list(i_c) = file_Temperature_c(R_ic.idx_file_Transmissivity_Nuc); % degC
[~,R_ic.idx_Img_Transmissivity_Nuc] = min(abs(file_time_c(R_ic.idx_file_Transmissivity_Nuc)-Img_time_c));
Nuc_Img_name_File_list{i_c} = MDB_Img.Img_Name{R_ic.idx_Img_t1+R_ic.idx_Img_Transmissivity_Nuc};
if Nuc_Time_abs_File_list(i_c) > time_File_grad_end(i_c)
Nuc_File_IsoThermal_list(i_c) = true;
else
Nuc_File_IsoThermal_list(i_c) = false;
end
else
Nuc_Time_abs_File_list(i_c) = nan;
Nuc_Time_Ind_File_list(i_c) = nan;
Nuc_Time_Ind_File_Err_list(i_c) = nan;
Nuc_Temp_File_list(i_c) = nan;
Nuc_File_IsoThermal_list(i_c) = nan;
end
if ~isempty(R_ic.idx_Img_Nuc)
Nuc_Time_abs_Img_list(i_c) = Img_time_c(R_ic.idx_Img_Nuc);
Nuc_Time_Ind_Img_list(i_c) = Img_time_c(R_ic.idx_Img_Nuc) - R_ic.Nuc_Time_Img_offset;
Nuc_Time_Ind_Img_Err_list(i_c) = nan;
[~,R_ic.idx_file_Nuc] = min(abs(file_time_c-Img_time_c(R_ic.idx_Img_Nuc)));
Nuc_Temp_Img_list(i_c) = file_Temperature_c(R_ic.idx_file_Nuc); % degC
Nuc_Img_name_Img_list{i_c} = MDB_Img.Img_Name{R_ic.idx_Img_t1+R_ic.idx_Img_Nuc};
if Nuc_Time_abs_Img_list(i_c) > time_File_grad_end(i_c)
Nuc_Img_IsoThermal_list(i_c) = true;
else
Nuc_Img_IsoThermal_list(i_c) = false;
end
else
Nuc_Time_abs_Img_list(i_c) = nan;
Nuc_Time_Ind_Img_list(i_c) = nan;
Nuc_Time_Ind_Img_Err_list(i_c) = nan;
Nuc_Temp_Img_list(i_c) = nan;
Nuc_Img_IsoThermal_list(i_c) = nan;
end
%% Graphs
% % % % % % % % % % % % % % % % % % % % %
% Graph Nucleation Detection
fig = figure('units','pixel','position',[100 100 Opt_DS.Graph.width Opt_DS.Graph.height]);
ax = axes('Parent',fig,...
'Position',[Opt_DS.Graph.ax_1,Opt_DS.Graph.ax_2,Opt_DS.Graph.ax_1_width,Opt_DS.Graph.ax_2_height]);
hold(ax,'on');
box(ax,'on');
ax.XAxis.Exponent = 0;
xtickformat('%.0f')
plot(Img_time_c,Img_FM_HELM_c_norm,'m-','DisplayName','ImgFeat')
plot(Img_time_c,Img_FM_HELM_c_norm_sm,'k--','DisplayName','ImgFeat (sm)')
plot(file_time_c,file_Transmissivity_c,'g-','DisplayName','Transmissivity')
plot(file_time_c,file_Transmissivity_c_sm,'k--','DisplayName','Transmissivity (sm)')
% Mark detected nucleation point
l1 = line([Nuc_Time_abs_Img_list(i_c) Nuc_Time_abs_Img_list(i_c)],get(ax,'YLim'));
set(l1,'LineStyle','--','Color','b','LineWidth',1.5,'DisplayName','tNuc ImgFeat')
l2 = line([Nuc_Time_abs_File_list(i_c) Nuc_Time_abs_File_list(i_c)],get(ax,'YLim'));
set(l2,'LineStyle',':','Color','b','LineWidth',1.5,'DisplayName','tNuc Transmissivity')
xlabel('Time [s]')
ylabel('Intensity')
ax = gca;
ax.XLim = [min([file_time_c;Img_time_c]) max([file_time_c;Img_time_c])];
yyaxis right
ax.YColor = 'k';
ylabel('Temperature [degC]')
plot(file_time_c,file_Temperature_c,'r-','DisplayName','Temperature')
legend('Interpreter','none');
annotation(fig,'textbox',...
[ax.Position(1) 0.92 0.8 0.06],...
'Interpreter', 'Latex', ...
'String',{sprintf('Nucleation Detetcion: Nuc ImgFeat %.0f s (abs %.0f s, T %.2f degC),\n Nuc Transmissivity %.0f s (abs %.0f s, T %.2f degC)', ...
Nuc_Time_Ind_Img_list(i_c),Nuc_Time_abs_Img_list(i_c),Nuc_Temp_Img_list(i_c), ...
Nuc_Time_Ind_File_list(i_c),Nuc_Time_abs_File_list(i_c),Nuc_Temp_File_list(i_c))}, ...
'FitBoxToText','on');
print(fullfile(Opt_DS.path_ExportFolder_Exp,sprintf('%s_ImgAnlys_Nuc_Det_%.0f',Opt_DS.ExpShorthand,i_c)),'-djpeg',Opt_DS.Graph.print_rS)
% % % % % % % % % % % % % % % % % % % % %
% Graph Crystal Growth (PSD)
if Opt_DS.PSD_Anlys_On && any(PSD_3_d25_movAvg > 0)
fig = figure('units','pixel','position',[100 100 Opt_DS.Graph.width Opt_DS.Graph.height]);
ax = axes('Parent',fig,...
'Position',[Opt_DS.Graph.ax_1,Opt_DS.Graph.ax_2,Opt_DS.Graph.ax_1_width,Opt_DS.Graph.ax_2_height]);
hold(ax,'on');
box(ax,'on');
ax.XAxis.Exponent = 0;
xtickformat('%.0f')
hold on
plot(Img_time_c,PSD_3_d25_movAvg, ...
'LineStyle','-','Color',Opt_DS.Graph.Color_Seq_grey{2},'DisplayName','PSD_3_25 movAvg (Img)')
plot(Img_time_c,PSD_3_d50_movAvg, ...
'LineStyle','-','Color',Opt_DS.Graph.Color_Seq_grey{4},'DisplayName','PSD_3_50 movAvg (Img)')
plot(Img_time_c,PSD_3_d75_movAvg, ...
'LineStyle','-','Color',Opt_DS.Graph.Color_Seq_grey{6},'DisplayName','PSD_3_75 movAvg (Img)')
plot(Img_time_c,PSD_3_d90_movAvg, ...
'LineStyle','-','Color',Opt_DS.Graph.Color_Seq_grey{8},'DisplayName','PSD_3_90 movAvg (Img)')
if isfield(R_ic,'yi_PSD_3_d25') && ~isempty(R_ic.yi_PSD_3_d25)
plot(xi_PSD_3,R_ic.yi_PSD_3_d25, ...
'LineStyle','-','Color','y','DisplayName','PSD_3_25 Fit (Img)')
plot(xi_PSD_3,R_ic.yi_PSD_3_d50, ...
'LineStyle','-','Color','g','DisplayName','PSD_3_50 Fit (Img)')
plot(xi_PSD_3,R_ic.yi_PSD_3_d75, ...
'LineStyle','-','Color','b','DisplayName','PSD_3_75 Fit (Img)')
plot(xi_PSD_3,R_ic.yi_PSD_3_d90, ...
'LineStyle','-','Color','r','DisplayName','PSD_3_90 Fit (Img)')
end
lgd = legend('Autoupdate','off');
lgd.Interpreter = 'none';
lgd.Location = 'NorthEast';
xlabel('Time [s]')
ylabel('Size [µm]')
if isfield(R_ic,'yi_PSD_3_d25') && ~isempty(R_ic.yi_PSD_3_d25)
plot(xi_PSD_3,R_ic.yi_PSD_3_d25+2*R_ic.delta_PSD_3_d25,'y--',xi_PSD_3,R_ic.yi_PSD_3_d25-2*R_ic.delta_PSD_3_d25,'y--')
plot(xi_PSD_3,R_ic.yi_PSD_3_d50+2*R_ic.delta_PSD_3_d50,'g--',xi_PSD_3,R_ic.yi_PSD_3_d50-2*R_ic.delta_PSD_3_d50,'g--')
plot(xi_PSD_3,R_ic.yi_PSD_3_d75+2*R_ic.delta_PSD_3_d75,'b--',xi_PSD_3,R_ic.yi_PSD_3_d75-2*R_ic.delta_PSD_3_d75,'b--')
plot(xi_PSD_3,R_ic.yi_PSD_3_d90+2*R_ic.delta_PSD_3_d90,'r--',xi_PSD_3,R_ic.yi_PSD_3_d90-2*R_ic.delta_PSD_3_d90,'r--')
annotation(fig,'textbox',...
[Opt_DS.Graph.ax_1+0.01 Opt_DS.Graph.ax_2_height-0.03 0.10 0.15],...
'String',{sprintf(['p_PSD_3_d25 = %.2e +/- %.2e um/s\n' ...
'p_PSD_3_d50 = %.2e +/- %.2e um/s\n' ...
'p_PSD_3_d75 = %.2e +/- %.2e um/s\n' ...
'p_PSD_3_d90 = %.2e +/- %.2e um/s'], ...
R_ic.p_PSD_3_d25(1),mean(R_ic.delta_PSD_3_d25),R_ic.p_PSD_3_d50(1),mean(R_ic.delta_PSD_3_d50), ...
R_ic.p_PSD_3_d75(1),mean(R_ic.delta_PSD_3_d75),R_ic.p_PSD_3_d90(1),mean(R_ic.delta_PSD_3_d90))},...
'FitBoxToText','on','Fontsize',9,'Interpreter','none','BackgroundColor','w');
else
annotation(fig,'textbox',...
[Opt_DS.Graph.ax_1+0.01 Opt_DS.Graph.ax_2_height-0.03 0.10 0.15],...
'String',{sprintf(['p_PSD_3_d25 = 0 +/- 0 um/s\n' ...
'p_PSD_3_d50 = 0 +/- 0 um/s\n' ...
'p_PSD_3_d75 = 0 +/- 0 um/s\n' ...
'p_PSD_3_d90 = 0 +/- 0 um/s'])},...
'FitBoxToText','on','Fontsize',9,'Interpreter','none','BackgroundColor','w');
end
print(fullfile(Opt_DS.path_ExportFolder_Exp,sprintf('%s_ImgAnlys_Growth_PSD_i_c_%.0f_movAvg',Opt_DS.ExpShorthand,i_c)),'-djpeg',Opt_DS.Graph.print_rS)
if isfield(R_ic,'yi_PSD_3_d25') && ~isempty(R_ic.yi_PSD_3_d25)
yi_PSD_max = max([max(R_ic.yi_PSD_3_d25),max(R_ic.yi_PSD_3_d50),max(R_ic.yi_PSD_3_d75),max(R_ic.yi_PSD_3_d90)])*1.1;
yi_PSD_min = min([min(R_ic.yi_PSD_3_d25),min(R_ic.yi_PSD_3_d50),min(R_ic.yi_PSD_3_d75),min(R_ic.yi_PSD_3_d90)])*0.9;
if yi_PSD_max > 0
axis([xi_PSD_3(1),xi_PSD_3(end),yi_PSD_min,yi_PSD_max]) %#ok<FNCOLND>
end
print(fullfile(Opt_DS.path_ExportFolder_Exp,sprintf('%s_ImgAnlys_Growth_PSD_i_c_%.0f_movAvg_rS',Opt_DS.ExpShorthand,i_c)),'-djpeg',Opt_DS.Graph.print_rS)
end
end
end
%% Assemble MDB_Data Table Structure
MDB_Data = table();
MDB_Data.HeatDet = HeatDet_list;
MDB_Data.CoolDet = CoolDet_list;
MDB_Data.HeatRate = HeatRate_list;
MDB_Data.T_Const_1 = T_Const_1_list;
MDB_Data.T_Const_2 = T_Const_2_list;
MDB_Data.time_File_grad_init = time_File_grad_init;
MDB_Data.time_File_grad_end = time_File_grad_end;
MDB_Data.Nuc_Time_abs_File = Nuc_Time_abs_File_list;
MDB_Data.Nuc_Time_Ind_File = Nuc_Time_Ind_File_list;
MDB_Data.Nuc_Time_Ind_File_Err = Nuc_Time_Ind_File_Err_list;
MDB_Data.Nuc_Time_abs_Img = Nuc_Time_abs_Img_list;
MDB_Data.Nuc_Time_Ind_Img = Nuc_Time_Ind_Img_list;
MDB_Data.Nuc_Time_Ind_Img_Err = Nuc_Time_Ind_Img_Err_list;
MDB_Data.Nuc_Img_name_File = Nuc_Img_name_File_list;
MDB_Data.Nuc_Img_name_Img = Nuc_Img_name_Img_list;
MDB_Data.numImg = numImg_list;
MDB_Data.Nuc_Temp_Img = Nuc_Temp_Img_list;
MDB_Data.Nuc_Temp_File = Nuc_Temp_File_list;
MDB_Data.Nuc_Img_IsoThermal = Nuc_Img_IsoThermal_list;
MDB_Data.Nuc_File_IsoThermal = Nuc_File_IsoThermal_list;
MDB_Data.Growth_PSD_3_25 = Growth_PSD_3_25_list;
MDB_Data.Growth_PSD_3_25_Err = Growth_PSD_3_25_Err_list;
MDB_Data.Growth_PSD_3_50 = Growth_PSD_3_50_list;
MDB_Data.Growth_PSD_3_50_Err = Growth_PSD_3_50_Err_list;
MDB_Data.Growth_PSD_3_75 = Growth_PSD_3_75_list;
MDB_Data.Growth_PSD_3_75_Err = Growth_PSD_3_75_Err_list;
MDB_Data.Growth_PSD_3_90 = Growth_PSD_3_90_list;
MDB_Data.Growth_PSD_3_90_Err = Growth_PSD_3_90_Err_list;
MDB_Data.PLS_logic = PLS_logic;
if ~isempty(MDB_Data)
% Save MDB_Data
writetable(MDB_Data,fullfile(Opt_DS.path_ExportFolder_Exp,sprintf('%s_MDB_Data_%s.csv',Opt_DS.ExpShorthand,datestr(now, 'yyyymmdd'))))
end
%% Additonal DataAnlys result structure
R_DataAnlys.Temp_mode_Img = Temp_mode_Img;
R_DataAnlys.PLS_logic_Img = PLS_logic_Img;
R_DataAnlys.Temp_mode_File = Temp_mode_File;
%% End of Script
fprintf('%s - %s (%s) COMPLETE (Elapsed time: %.0f sec)\n',Opt.ProjectShorthand,Opt_DS.ExpShorthand,mfilename(),toc(Opt.tic))