Development of far-red fluorescent proteins for temporal domain multiplexing and super-resolution imaging.
The 1 match · it ties a paragraph to a whole file, not to given lines: a weak match, whose lines are not tinted
- [1] § STAR★Methods › Quantification and statistical analysis › BAMM unmixing ↔ BAMM/Code/BAMM_blind.m, the whole file · a weak match · score 0.57 · negative matrix factorization, bleaching curves, reshaped, BAMM, algorithm, intensity
Paper
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The authors' code
MATLAB · 82 lines · 2.5 KB · no license · 1 match
- % BAMM unmixing using non-negative matrix factorization
- % Written by Antony Orth, RMIT University, August 8 2018.
- % Citation:
- % Antony Orth, Richik N. Ghosh, Emma R. Wilson, Timothy Doughney, Hannah Brown, Philipp Reineck, Jeremy G. Thompson, and Brant C. Gibson, "Super-multiplexed fluorescence microscopy via photostability contrast," Biomed. Opt. Express 9, 2943-2954 (2018)
- function [imdmm, H]=BAMM_blind(a2_L1,k,nrep,flg)
- % k is the expected number of components to unmix. k=2 or 3.
- % a2_L1 is 3-dimensional matrix of size N x M x T contianing the bleaching
- % movie. Should have less than 200 frames.
- % nrep is the number of replicates of nnmf to run. Typically between 1-25.
- % flg is a flag. flg=0 for regular nnmf (bleaching curve must be positive everywhere);
- % flg=1 for non-decreasing nnmf (bleaching curve can never increase with time).
- % For k=3, flg=1 is usually required for physically sensible results.
- im2=reshape(a2_L1,size(a2_L1,1)*size(a2_L1,2),size(a2_L1,3)); % reshaping movie data
- opt = statset('Maxiter',100,'Display','final'); % settings for nnmf
- %%%%Non-negative matrix factorization (nnmf), requires Statistics and Machine
- %%%%Learning toolbox
- if flg==1
- [pc1,H]=nnmf_decrease(im2,k,'algorithm','als','replicates',nrep,'options',opt);
- elseif flg==0
- [pc1,H]=nnmf(im2,k,'algorithm','als','replicates',nrep,'options',opt);
- end
- imdmm=reshape(pc1,size(a2_L1,1),size(a2_L1,2),k); %reshaping output of nnmf into an image
- imdmm(:,:,1)=imdmm(:,:,1)*H(1,1); %normalizing component 1
- imdmm(:,:,2)=imdmm(:,:,2)*H(2,1); % normalizing component 2
- if k<3
- imdmm(:,:,3)=0; %setting the third component to 0 if there are only 2 components
- elseif k==3
- imdmm(:,:,3)=imdmm(:,:,3)*H(3,1); % normalizing component 3, if there is one
- end
- for nn=1:size(H,1)
- H(nn,:)=H(nn,:)/H(nn,1);
- end
- % figure;
- % imshow(squeeze(1*imdmm(:,:,[1 2 3]))); %display unmixed image
- % title('Unmixed image - no normalization')
- %
- % figure;
- % plot(H(1,:),'-r','LineWidth',2); %plot the estimated bleaching curves
- % hold on
- % plot(H(2,:),'-g','LineWidth',2);
- %
- % if size(H,1)==3
- % hold on
- % plot(H(3,:),'-b','LineWidth',2);
- % end
- %
- % xlabel('Frame #'); % Label the graph
- % ylabel('Intensity (A.U.)')
- % title('Bleaching components')
- %
- % imdmm1=norm_chn1(imdmm);
- %
- % figure;
- % imshow(imdmm1);
- % title('Unmixed image - channels normalized')
- end
- % %function that normalizes the maximum value of each channel to 1.
- % function im=norm_chn1(im0)
- % for n=1:size(im0,3)
- % tmp=im0(:,:,n);
- % tmp=tmp/max(tmp(:));
- % im(:,:,n)=tmp;
- % end
- % end
BAMM_blind.m at commit e6819a0, no license · at the source
Overview
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
- Division of Cellular and Molecular Neurobiology, Zoological Institute, Technische Universität Braunschweig, Braunschweig, Germany
- Complex of NBICS Technologies, National Research Center ‘Kurchatov Institute’, Moscow, Russia
Abstract
The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.
Repositories
Its files are read in the Code ↔ Paper reader above, with 1 match between paragraphs and lines of code.
Fakorede-Olumayowa/Temporal_Domain_Multiplexing
e518ada2b05e5bbab530f5c4747bbb3138749c3e, 28 November 2023Availability: 1 check, the latest on 28 September 2026: the link answers
- 28 September 2026: the link answers
Fakorede-Olumayowa/BAMM
e6819a06813123cca23ba72e21f4c7a2f90c5cb3, 18 November 2025Availability: 1 check, the latest on 28 September 2026: the link answers
- 28 September 2026: the link answers
4 files
- BAMM/
Code/ , MATLAB, 82 lines, 1 matchBAMM_blind.m - BAMM/
Code/ , MATLAB, 153 linesexample_bamm.m - BAMM/
Code/ , MATLAB, 395 linesnnmf_decrease.m - BAMM/
Code/ , MATLAB, 8 linesnorm_chn1.m
Zenodo 19615672
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
- 28 September 2026: the link answers (HTTP 200)
Zenodo 19616489
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
- 28 September 2026: the link answers (HTTP 200)
4 files
- BAMM/
Code/ , MATLAB, 82 linesBAMM_blind.m - BAMM/
Code/ , MATLAB, 153 linesexample_bamm.m - BAMM/
Code/ , MATLAB, 395 linesnnmf_decrease.m - BAMM/
Code/ , MATLAB, 8 linesnorm_chn1.m
gitlab.wllsb.edu.cn/blank22/kiryl-piatkevich
Availability: 4 checks, the latest on 29 September 2026: unreachable at the last attempt
- 29 September 2026: unreachable at the last attempt
- 28 September 2026: unreachable at the last attempt
- 28 September 2026: unreachable at the last attempt
- 28 September 2026: unreachable at the last attempt
The paper's code and data availability statement is in the Data section.
Tracing map
Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.
What the map holds:
- 5 repositories of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
- 8 scripts, each with its path and the digest of its content;
- 1 match between paragraphs of the paper and lines of the code (method lexical-v1);
- neither the text of the paper nor the code itself.
Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.
Data
Datasets cited
- figshare:25853149, at figshare; found in “Data and code availability”
- figshare:30423754, at figshare; found in “Data and code availability”
Code and data availability statement
The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:
- it points to 2 datasets: figshare 25853149, figshare 30423754
- it points to the authors' code: Fakorede-Olumayowa/
BAMM , gitlab.wllsb.edu.cn/blank22/ , Zenodo 19615672, Zenodo 19616489kiryl-piatkevich - it says that the data are available on request
- it says that the code is available on request
Read it in the paper: doi.org/10.1016/j.crmeth.2026.101471.
Versions
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Version 1, 28 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 10 authors, 5 keywords, 9 MeSH terms, 4 funders, 31 references, 11 RRIDs.
Cite
This paper
Fakorede, O., Rong, Z., Wang, R., Papadaki, S., Wang, X., Cao, J., Subach, F. V., Köster, R. W., Namikawa, K., & Piatkevich, K. D. (2026). Development of far-red fluorescent proteins for temporal domain multiplexing and super-resolution imaging. Cell reports methods, 6(7), 101471. https://
BibTeX
@article{fakorede2026dev
author = {Fakorede, Olumayowa and Rong, Zhien and Wang, Ruizhao and Papadaki, Stavrini and Wang, Xinyue and Cao, Jiayue and Subach, Fedor V and Köster, Reinhard W and Namikawa, Kazuhiko and Piatkevich, Kiryl D},
title = {{Development of far-red fluorescent proteins for temporal domain multiplexing and super-resolution imaging}},
journal = {Cell reports methods},
year = {2026},
month = may,
volume = {6},
number = {7},
pages = {101471},
publisher = {Elsevier},
issn = {2667-2375},
doi = {10.1016/
url = {https://
pmid = {42214338},
pmcid = {PMC13390083}
}
RIS
TY - JOUR
AU - Fakorede, Olumayowa
AU - Rong, Zhien
AU - Wang, Ruizhao
AU - Papadaki, Stavrini
AU - Wang, Xinyue
AU - Cao, Jiayue
AU - Subach, Fedor V
AU - Köster, Reinhard W
AU - Namikawa, Kazuhiko
AU - Piatkevich, Kiryl D
TI - Development of far-red fluorescent proteins for temporal domain multiplexing and super-resolution imaging
T2 - Cell reports methods
J2 - Cell Rep Methods
PY - 2026
DA - 2026/
VL - 6
IS - 7
SP - 101471
SN - 2667-2375
PB - Elsevier
DO - 10.1016/
UR - https://
LA - en
ER -
CSL-JSON
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"family": "Fakorede",
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"given": "Kazuhiko"
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"container-title-short":
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