472 citations · 546 across the 8 of their papers we have counts for
8 papers
Transformer-Based Classification of Bacterial Raman Spectra with LOOCV
Jamile Mohammad Jafari, Thomas Bocklitz
Transformer-based models have recently attracted increasing attention for Raman spectral classification. In this study, a transformer-based approach was systematically evaluated us…
LEO: An Open-Source Platform for Linking OMERO with Lab Notebooks and Heterogeneous Metadata Sources
Rodrigo Escobar Díaz Guerrero, Jamile Mohammad Jafari, Tobias Meyer-Zedler +3
In the interdisciplinary field of microscopy research, managing and integrating large volumes of data stored across disparate platforms remains a major challenge. Data types such a…
Multi-Marker Similarity enables reduced-reference and interpretable image quality assessment in optical microscopy
Elena Corbetta, Thomas Bocklitz
Optical microscopy contributes to the ever-increasing progress in biological and biomedical studies, as it allows the implementation of minimally invasive experimental pipelines to…
Nonlinear Inference Capacity of Fiber-Optical Extreme Learning Machines
Sobhi Saeed, Mehmet Müftüoglu, Glitta R. Cheeran +3
The intrinsic complexity of nonlinear optical phenomena offers a fundamentally new resource to analog brain-inspired computing, with the potential to address the pressing energy re…
Investigating the effect of non-resonant background variation on the CARS data analysis and classification
Rajendhar Junjuri, Tobias Meyer-Zedler, Jürgen Popp +1
: Non-resonant background (NRB) plays a significant role in coherent anti-Stokes Raman scattering (CARS) spectroscopic applications. All the recent works primarily focused on remov…
RAMANMETRIX: a delightful way to analyze Raman spectra
Darina Storozhuk, Oleg Ryabchykov, Juergen Popp +1
Although Raman spectroscopy is widely used for the investigation of biomedical samples and has a high potential for use in clinical applications, it is not common in clinical routi…
corr2D - Implementation of Two-Dimensional Correlation Analysis in R
Robert Geitner, Robby Fritzsch, Jürgen Popp +1
In the package corr2D two-dimensional correlation analysis is implemented in R. This paper describes how two-dimensional correlation analysis is done in the package and how the mat…
Sample Size Planning for Classification Models
Claudia Beleites, Ute Neugebauer, Thomas Bocklitz +2
In biospectroscopy, suitably annotated and statistically independent samples (e. g. patients, batches, etc.) for classifier training and testing are scarce and costly. Learning cur…