Author

B. Zimmermann

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Biophysics· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Organism:chicken / avian· 1 Research Focus:ecology & biodiversity· 1 Organism:human· 1 Organism:plant (other)· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Kohler· 1 shared A. W. R. Seddon· 1 shared B. Kim· 1 shared C. Vila-Vicosa· 1 shared D. A. Boas· 1 shared E. J. Sie· 1 shared E. Nippolainen· 1 shared F. Marsili· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperBiophysics

A. Kohler

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Measuring human cerebral blood flow and brain function with fiber-based speckle contrast optical spectroscopy system

B. Kim, S. Zilpelwar, E. J. Sie, F. Marsili, B. Zimmermann, D. A. Boas, X. Cheng

This paper develops a fiber-based speckle contrast optical spectroscopy (SCOS) system for measuring cerebral blood flow and brain function with improved signal-to-noise ratio compared to traditional DCS.

bioRxiv · Apr 8, 2023Bioengineering

Infrared fiber optic spectroscopy detects bovine articular cartilage degeneration

V. K. O. Virtanen, E. Nippolainen, R. Shaikh, I. Afara, J. Toyras, J. Solheim, V. Tafintseva, B. Zimmermann, A. Kohler, S. Saarakkala, L. Rieppo

This study uses FTIR-ATR spectroscopy to detect cartilage degeneration in bovine samples, showing high classification accuracy with machine learning models.

bioRxiv · May 18, 2020Biophysics

Chemical variations in Quercus pollen as a tool for taxonomic identification: implications for long-term ecological and biogeographic research

M. Florian, B. Zimmermann, H. J. B. Birks, C. Vila-Vicosa, A. W. R. Seddon

This study uses FTIR to analyze chemical variations in Quercus pollen, showing potential for improving taxonomic resolution in biogeographic research but highlighting challenges in species-level discrimination.

bioRxiv · Nov 19, 2019Ecology