Superresolution via bilinear fusion of multimodal imaging data

Author(s):  
Pulak Sarangi ◽  
Piya Pal
IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 149808-149824 ◽  
Author(s):  
Michael J. Horry ◽  
Subrata Chakraborty ◽  
Manoranjan Paul ◽  
Anwaar Ulhaq ◽  
Biswajeet Pradhan ◽  
...  

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Stefania Alexandra Iakab ◽  
Lluc Sementé ◽  
María García-Altares ◽  
Xavier Correig ◽  
Pere Ràfols

Abstract Background Multimodal imaging that combines mass spectrometry imaging (MSI) with Raman imaging is a rapidly developing multidisciplinary analytical method used by a growing number of research groups. Computational tools that can visualize and aid the analysis of datasets by both techniques are in demand. Results Raman2imzML was developed as an open-source converter that transforms Raman imaging data into imzML, a standardized common data format created and adopted by the mass spectrometry community. We successfully converted Raman datasets to imzML and visualized Raman images using open-source software designed for MSI applications. Conclusion Raman2imzML enables both MSI and Raman images to be visualized using the same file format and the same software for a straightforward exploratory imaging analysis.


2017 ◽  
Vol 1865 (7) ◽  
pp. 946-956 ◽  
Author(s):  
Judith M. Lotz ◽  
Franziska Hoffmann ◽  
Johannes Lotz ◽  
Stefan Heldmann ◽  
Dennis Trede ◽  
...  

2017 ◽  
Vol 18 (6) ◽  
pp. 183-193 ◽  
Author(s):  
Matthias Schlachter ◽  
Tobias Fechter ◽  
Sonja Adebahr ◽  
Tanja Schimek-Jasch ◽  
Ursula Nestle ◽  
...  

Author(s):  
Chunying Jia ◽  
Mohammad A. B. S. Akhonda ◽  
Qunfang Long ◽  
Vince D. Calhoun ◽  
Shari Waldstein ◽  
...  

2013 ◽  
Vol 7 ◽  
Author(s):  
Majka Piotr ◽  
Chlodzinska Natalia ◽  
Banasik Tomasz ◽  
Djavadian Ruzanna L. ◽  
Węglarz Władysław P. ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document