From 89e92e8ea0f4e0b1d70fa6aa43c6cf0425d03a08 Mon Sep 17 00:00:00 2001 From: WALIII Date: Wed, 5 Dec 2018 20:58:55 -0800 Subject: [PATCH 1/3] update readme --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index 3bce09c..0cc2e4c 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,7 @@ ## Overview The FinchScope project aims to provide a modular in-vivo optophysiology rig, with a transparent acquisition and analysis pipeline. The goal is to produce a customizable and scaleable single-photon fluorescent imaging microscope system that takes advantage of developing open-source analysis platforms. You can read more about the project [here.](http://iopscience.iop.org/1741-2552/14/4/045001/) -The project was developed by [Will Liberti](https://github.com/WALIII) in the [Gardner Lab](http://people.bu.edu/timothyg/Home.html), for multi-month imaging of neural activity in songbirds [[1]](https://doi.org/10.1371/journal.pbio.1002158) [[2]](https://www.nature.com/articles/nn.4405) [[3]](https://ccneuro.org/2018/proceedings/1133.pdf) and rodents. This effort would not have been possible without the critical advice and support at the outset of the project by Daniel Aharoni and Peyman Golshani, of the [UCLA Miniscope project](http://miniscope.org/index.php?title=Main_Page) +The project was developed by [Will Liberti](https://github.com/WALIII) in the [Gardner Lab](http://people.bu.edu/timothyg/Home.html), for multi-month imaging of neural activity in songbirds [[1]](https://doi.org/10.1371/journal.pbio.1002158) [[2]](https://www.nature.com/articles/nn.4405) [[3]](https://ccneuro.org/2018/proceedings/1133.pdf) and rodents. This effort would not have been possible without the critical advice and support at the outset of the project by Daniel Aharoni and Peyman Golshani, of the [UCLA Miniscope project](http://miniscope.org/index.php?title=Main_Page) @@ -43,4 +43,3 @@ If you use any part of this project in your work, please cite out Journal of Neu * [Nathan Perkins](lnp@bu.edu) * [Daniel Leman](dpleman@bu.edu) * [Ian Davison](idavison@bu.edu) - From 1f2b9b20abc2c98ea2be28f291a1a12323dffa15 Mon Sep 17 00:00:00 2001 From: WALIII Date: Sun, 10 Feb 2019 19:58:53 -0800 Subject: [PATCH 2/3] Add editable commutator files --- .../ActiveCommutator/ActiveCommGear1.skp | Bin 0 -> 316517 bytes .../ActiveCommutator/ActiveCommGear2.skp | Bin 0 -> 229744 bytes .../ActiveCommutator/ActiveCommLinker.skp | Bin 0 -> 68076 bytes .../ActiveCommutator/Objective_Cap.skp | Bin 0 -> 1290430 bytes Analysis Pipeline/FS_AV_Parse.m | 11 +- .../CaBMI_miniscope/CaBMI_miniscope.stl | 2756 +- .../CaBMI_miniscope_18000um.stl | 22332 ++++++++++++++++ .../CaBMI_miniscope/CaBMI_miniscope~.skp | Bin 1599203 -> 286576 bytes .../CaBMI_miniscope/CaBMI_miniscope~~.skp | Bin 0 -> 288441 bytes fdr_bh.m | 226 + 10 files changed, 23811 insertions(+), 1514 deletions(-) create mode 100644 ActiveComm/DesignFiles/ActiveCommutator/ActiveCommGear1.skp create mode 100644 ActiveComm/DesignFiles/ActiveCommutator/ActiveCommGear2.skp create mode 100644 ActiveComm/DesignFiles/ActiveCommutator/ActiveCommLinker.skp create mode 100644 ActiveComm/DesignFiles/ActiveCommutator/Objective_Cap.skp create mode 100644 FinchScope/DesignFiles/CaBMI_miniscope/CaBMI_miniscope_18000um.stl create mode 100644 FinchScope/DesignFiles/CaBMI_miniscope/CaBMI_miniscope~~.skp create mode 100644 fdr_bh.m diff --git a/ActiveComm/DesignFiles/ActiveCommutator/ActiveCommGear1.skp b/ActiveComm/DesignFiles/ActiveCommutator/ActiveCommGear1.skp new file mode 100644 index 0000000000000000000000000000000000000000..26ef8c15ffce1c189bc694e22eaced13f14a2cec GIT binary patch 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zmL^Wagail|6BEQlgqFaZa8pba(x}NmZ+oF4zFGnYlx~lppO~SKkm0*+ctbz2WE!82 gGXFDDX~g~+sWcA%j8qf{i;*h*e~whlhHV7@4@q@5&;S4c literal 0 HcmV?d00001 diff --git a/fdr_bh.m b/fdr_bh.m new file mode 100644 index 0000000..ef12d8b --- /dev/null +++ b/fdr_bh.m @@ -0,0 +1,226 @@ +% fdr_bh() - Executes the Benjamini & Hochberg (1995) and the Benjamini & +% Yekutieli (2001) procedure for controlling the false discovery +% rate (FDR) of a family of hypothesis tests. FDR is the expected +% proportion of rejected hypotheses that are mistakenly rejected +% (i.e., the null hypothesis is actually true for those tests). +% FDR is a somewhat less conservative/more powerful method for +% correcting for multiple comparisons than procedures like Bonferroni +% correction that provide strong control of the family-wise +% error rate (i.e., the probability that one or more null +% hypotheses are mistakenly rejected). +% +% This function also returns the false coverage-statement rate +% (FCR)-adjusted selected confidence interval coverage (i.e., +% the coverage needed to construct multiple comparison corrected +% confidence intervals that correspond to the FDR-adjusted p-values). +% +% +% Usage: +% >> [h, crit_p, adj_ci_cvrg, adj_p]=fdr_bh(pvals,q,method,report); +% +% Required Input: +% pvals - A vector or matrix (two dimensions or more) containing the +% p-value of each individual test in a family of tests. +% +% Optional Inputs: +% q - The desired false discovery rate. {default: 0.05} +% method - ['pdep' or 'dep'] If 'pdep,' the original Bejnamini & Hochberg +% FDR procedure is used, which is guaranteed to be accurate if +% the individual tests are independent or positively dependent +% (e.g., Gaussian variables that are positively correlated or +% independent). If 'dep,' the FDR procedure +% described in Benjamini & Yekutieli (2001) that is guaranteed +% to be accurate for any test dependency structure (e.g., +% Gaussian variables with any covariance matrix) is used. 'dep' +% is always appropriate to use but is less powerful than 'pdep.' +% {default: 'pdep'} +% report - ['yes' or 'no'] If 'yes', a brief summary of FDR results are +% output to the MATLAB command line {default: 'no'} +% +% +% Outputs: +% h - A binary vector or matrix of the same size as the input "pvals." +% If the ith element of h is 1, then the test that produced the +% ith p-value in pvals is significant (i.e., the null hypothesis +% of the test is rejected). +% crit_p - All uncorrected p-values less than or equal to crit_p are +% significant (i.e., their null hypotheses are rejected). If +% no p-values are significant, crit_p=0. +% adj_ci_cvrg - The FCR-adjusted BH- or BY-selected +% confidence interval coverage. For any p-values that +% are significant after FDR adjustment, this gives you the +% proportion of coverage (e.g., 0.99) you should use when generating +% confidence intervals for those parameters. In other words, +% this allows you to correct your confidence intervals for +% multiple comparisons. You can NOT obtain confidence intervals +% for non-significant p-values. The adjusted confidence intervals +% guarantee that the expected FCR is less than or equal to q +% if using the appropriate FDR control algorithm for the +% dependency structure of your data (Benjamini & Yekutieli, 2005). +% FCR (i.e., false coverage-statement rate) is the proportion +% of confidence intervals you construct +% that miss the true value of the parameter. adj_ci=NaN if no +% p-values are significant after adjustment. +% adj_p - All adjusted p-values less than or equal to q are significant +% (i.e., their null hypotheses are rejected). Note, adjusted +% p-values can be greater than 1. +% +% +% References: +% Benjamini, Y. & Hochberg, Y. (1995) Controlling the false discovery +% rate: A practical and powerful approach to multiple testing. Journal +% of the Royal Statistical Society, Series B (Methodological). 57(1), +% 289-300. +% +% Benjamini, Y. & Yekutieli, D. (2001) The control of the false discovery +% rate in multiple testing under dependency. The Annals of Statistics. +% 29(4), 1165-1188. +% +% Benjamini, Y., & Yekutieli, D. (2005). False discovery rate?adjusted +% multiple confidence intervals for selected parameters. Journal of the +% American Statistical Association, 100(469), 71?81. doi:10.1198/016214504000001907 +% +% +% Example: +% nullVars=randn(12,15); +% [~, p_null]=ttest(nullVars); %15 tests where the null hypothesis +% %is true +% effectVars=randn(12,5)+1; +% [~, p_effect]=ttest(effectVars); %5 tests where the null +% %hypothesis is false +% [h, crit_p, adj_ci_cvrg, adj_p]=fdr_bh([p_null p_effect],.05,'pdep','yes'); +% data=[nullVars effectVars]; +% fcr_adj_cis=NaN*zeros(2,20); %initialize confidence interval bounds to NaN +% if ~isnan(adj_ci_cvrg), +% sigIds=find(h); +% fcr_adj_cis(:,sigIds)=tCIs(data(:,sigIds),adj_ci_cvrg); % tCIs.m is available on the +% %Mathworks File Exchagne +% end +% +% +% For a review of false discovery rate control and other contemporary +% techniques for correcting for multiple comparisons see: +% +% Groppe, D.M., Urbach, T.P., & Kutas, M. (2011) Mass univariate analysis +% of event-related brain potentials/fields I: A critical tutorial review. +% Psychophysiology, 48(12) pp. 1711-1725, DOI: 10.1111/j.1469-8986.2011.01273.x +% http://www.cogsci.ucsd.edu/~dgroppe/PUBLICATIONS/mass_uni_preprint1.pdf +% +% +% For a review of FCR-adjusted confidence intervals (CIs) and other techniques +% for adjusting CIs for multiple comparisons see: +% +% Groppe, D.M. (in press) Combating the scientific decline effect with +% confidence (intervals). Psychophysiology. +% http://biorxiv.org/content/biorxiv/early/2015/12/10/034074.full.pdf +% +% +% Author: +% David M. Groppe +% Kutaslab +% Dept. of Cognitive Science +% University of California, San Diego +% March 24, 2010 + +%%%%%%%%%%%%%%%% REVISION LOG %%%%%%%%%%%%%%%%% +% +% 5/7/2010-Added FDR adjusted p-values +% 5/14/2013- D.H.J. Poot, Erasmus MC, improved run-time complexity +% 10/2015- Now returns FCR adjusted confidence intervals + +function [h, crit_p, adj_ci_cvrg, adj_p]=fdr_bh(pvals,q,method,report) + +if nargin<1, + error('You need to provide a vector or matrix of p-values.'); +else + if ~isempty(find(pvals<0,1)), + error('Some p-values are less than 0.'); + elseif ~isempty(find(pvals>1,1)), + error('Some p-values are greater than 1.'); + end +end + +if nargin<2, + q=.05; +end + +if nargin<3, + method='pdep'; +end + +if nargin<4, + report='no'; +end + +s=size(pvals); +if (length(s)>2) || s(1)>1, + [p_sorted, sort_ids]=sort(reshape(pvals,1,prod(s))); +else + %p-values are already a row vector + [p_sorted, sort_ids]=sort(pvals); +end +[dummy, unsort_ids]=sort(sort_ids); %indexes to return p_sorted to pvals order +m=length(p_sorted); %number of tests + +if strcmpi(method,'pdep'), + %BH procedure for independence or positive dependence + thresh=(1:m)*q/m; + wtd_p=m*p_sorted./(1:m); + +elseif strcmpi(method,'dep') + %BH procedure for any dependency structure + denom=m*sum(1./(1:m)); + thresh=(1:m)*q/denom; + wtd_p=denom*p_sorted./[1:m]; + %Note, it can produce adjusted p-values greater than 1! + %compute adjusted p-values +else + error('Argument ''method'' needs to be ''pdep'' or ''dep''.'); +end + +if nargout>3, + %compute adjusted p-values; This can be a bit computationally intensive + adj_p=zeros(1,m)*NaN; + [wtd_p_sorted, wtd_p_sindex] = sort( wtd_p ); + nextfill = 1; + for k = 1 : m + if wtd_p_sindex(k)>=nextfill + adj_p(nextfill:wtd_p_sindex(k)) = wtd_p_sorted(k); + nextfill = wtd_p_sindex(k)+1; + if nextfill>m + break; + end; + end; + end; + adj_p=reshape(adj_p(unsort_ids),s); +end + +rej=p_sorted<=thresh; +max_id=find(rej,1,'last'); %find greatest significant pvalue +if isempty(max_id), + crit_p=0; + h=pvals*0; + adj_ci_cvrg=NaN; +else + crit_p=p_sorted(max_id); + h=pvals<=crit_p; + adj_ci_cvrg=1-thresh(max_id); +end + +if strcmpi(report,'yes'), + n_sig=sum(p_sorted<=crit_p); + if n_sig==1, + fprintf('Out of %d tests, %d is significant using a false discovery rate of %f.\n',m,n_sig,q); + else + fprintf('Out of %d tests, %d are significant using a false discovery rate of %f.\n',m,n_sig,q); + end + if strcmpi(method,'pdep'), + fprintf('FDR/FCR procedure used is guaranteed valid for independent or positively dependent tests.\n'); + else + fprintf('FDR/FCR procedure used is guaranteed valid for independent or dependent tests.\n'); + end +end + + + + From 2a28971c2529111aaa0a10e7f9e9ec51409c18ef Mon Sep 17 00:00:00 2001 From: WALIII Date: Sun, 10 Feb 2019 20:03:29 -0800 Subject: [PATCH 3/3] remove placeholders --- FinchScope/DesignFiles/FinchScope_DualColor/placeholder | 1 - FinchScope/DesignFiles/FinchScope_WideField/placeholder | 1 - 2 files changed, 2 deletions(-) delete mode 100644 FinchScope/DesignFiles/FinchScope_DualColor/placeholder delete mode 100644 FinchScope/DesignFiles/FinchScope_WideField/placeholder diff --git a/FinchScope/DesignFiles/FinchScope_DualColor/placeholder b/FinchScope/DesignFiles/FinchScope_DualColor/placeholder deleted file mode 100644 index c2bda34..0000000 --- a/FinchScope/DesignFiles/FinchScope_DualColor/placeholder +++ /dev/null @@ -1 +0,0 @@ -placeholder diff --git a/FinchScope/DesignFiles/FinchScope_WideField/placeholder b/FinchScope/DesignFiles/FinchScope_WideField/placeholder deleted file mode 100644 index 48cdce8..0000000 --- a/FinchScope/DesignFiles/FinchScope_WideField/placeholder +++ /dev/null @@ -1 +0,0 @@ -placeholder

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disp('moving file- to large for batch processing... use FS_AV_Parse(pwd,large)'); %LargeDir = strcat(path,'/','LargeFiles'); movefile(FILE, error_dir) @@ -103,6 +103,7 @@ function FS_AV_Parse(DIR,varargin) end % +try disp('Performing Gain correction') noise = squeeze(est(:,:,3,:)); % blue channel noise = (((squeeze(mean(mean(noise(:,1:80,:),1))))));%+(squeeze(mean(mean(noise(1:10,:,:),2)))))/2); @@ -116,6 +117,10 @@ function FS_AV_Parse(DIR,varargin) end clear noise; clear est; +catch + video.gain = []; +end + % Format AUDIO DATA @@ -134,8 +139,8 @@ function FS_AV_Parse(DIR,varargin) try [s,f,t]=fb_pretty_sonogram(filtfilt(b,a,mic_data./abs(max(mic_data))),fs,'low',2.5,'zeropad',0); - - + + minpt=1; maxpt=min(find(f>=10e3)); diff --git a/FinchScope/DesignFiles/CaBMI_miniscope/CaBMI_miniscope.stl b/FinchScope/DesignFiles/CaBMI_miniscope/CaBMI_miniscope.stl index 6209244..519c82c 100644 --- a/FinchScope/DesignFiles/CaBMI_miniscope/CaBMI_miniscope.stl +++ b/FinchScope/DesignFiles/CaBMI_miniscope/CaBMI_miniscope.stl @@ -1,4 +1,4 @@ -solid CaBMI_miniscope +solid CaBMI_miniscope~ facet normal 4.445785535892222e-05 0.9999999990031219 4.15398007244164e-06 outer loop vertex -10.957565266820932 23.794097340563894 7.2925902213933895 @@ -15,16 +15,9 @@ facet normal 4.445785535892222e-05 0.9999999990031219 4.15398007244164e-06 endfacet facet normal 4.445785535892222e-05 0.9999999990031219 4.15398007244164e-06 outer loop - vertex -6.908557803112418 23.793939132373232 8.369208619552543 - vertex -5.258088940554156 23.793855177716857 8.369283062075153 - vertex -6.107441433385127 23.793936695531773 8.369177436187913 - endloop -endfacet -facet normal 4.445785535892222e-05 0.9999999990031219 4.15398007244164e-06 - outer loop - vertex -5.258088940554156 23.793855177716857 8.369283062075153 vertex -6.908557803112418 23.793939132373232 8.369208619552543 vertex -10.956927113122163 23.794098301005167 8.369226125492848 + vertex -5.258088940554156 23.793855177716857 8.369283062075153 endloop endfacet facet normal 4.445785535892222e-05 0.9999999990031219 4.15398007244164e-06 @@ -38,28 +31,28 @@ facet normal 4.445785535892222e-05 0.9999999990031219 4.15398007244164e-06 outer loop vertex -5.258088940554156 23.793855177716857 8.369283062075153 vertex -11.858352111121423 23.79418370266605 8.369227088907607 - vertex -11.858351799251945 23.794133845722268 14.567511793579605 + vertex -11.858265829656494 23.794137138495284 14.098944801477744 endloop endfacet facet normal 4.445785535892222e-05 0.9999999990031219 4.15398007244164e-06 outer loop vertex -5.258088940554156 23.793855177716857 8.369283062075153 - vertex -11.858351799251945 23.794133845722268 14.567511793579605 + vertex -11.858265829656494 23.794137138495284 14.098944801477744 vertex -5.2581061651480345 23.79385193848203 9.249131484502263 endloop endfacet facet normal 4.445785535892222e-05 0.9999999990031219 4.15398007244164e-06 outer loop vertex -5.2581061651480345 23.79385193848203 9.249131484502263 - vertex -11.858351799251945 23.794133845722268 14.567511793579605 + vertex -11.858265829656494 23.794137138495284 14.098944801477744 vertex -5.258124596218094 23.793848472358874 10.19060784281112 endloop endfacet facet normal 4.445785535892222e-05 0.9999999990031219 4.15398007244164e-06 outer loop vertex -5.258124596218094 23.793848472358874 10.19060784281112 - vertex -11.858351799251945 23.794133845722268 14.567511793579605 - vertex -5.258210305584813 23.79383235396638 14.56872274209059 + vertex -11.858265829656494 23.794137138495284 14.098944801477744 + vertex -5.258124335989363 23.793835646739396 14.100155749988726 endloop endfacet facet normal 0.0033992256254633166 0.0037241123994514605 -0.999987288045195 @@ -90,31 +83,220 @@ facet normal 0.0033992256254633166 0.0037241123994514605 -0.999987288045195 vertex 3.2934743497393137 23.636558789848433 0.002794564143193917 endloop endfacet -facet normal 1.0302817346461403e-24 0.9999999999998563 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