logo

NANO-scale VIsualization to understand Bacterial virulence and invasiveness - based on fluorescence NANOscopy and VIBrational microscopy

Source: EU Funding & Tenders Portal

Project
Ended

In an interdisciplinary project, we will prototype a next-generation super-resolution microscope (SRM) and demonstrate its capability to bring about a major leap forward in our understanding of inter- and intracellular processes, and thus the cellular origin of diseases. Based on the recently invented MINFLUX concept, which pushes spatial resolution an order of magnitude beyond any other SRM techn

Project Information FAQ

Project Information

5 Q
The project "NANO-scale VIsualization to understand Bacterial virulence and invasiveness - based on fluorescence NANOscopy and VIBrational microscopy" is an infrastructure initiative in the Electric Vehicles (EVs), Automotive, Manufacturing (Industrial), Advanced Electronics, Education sector, located in N/A, Sweden. Taiyo aggregates data from EU Funding & Tenders Portal, including information on sponsoring government bodies, EPCs, and contractors.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

ended

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

In an interdisciplinary project, we will prototype a next-generation super-resolution microscope (SRM) and demonstrate its capability to bring about a major leap forward in our understanding of inter- and intracellular processes, and thus the cellular origin of diseases. Based on the recently invented MINFLUX concept, which pushes spatial resolution an order of magnitude beyond any other SRM technique, and by concerted development of detector technologies, lasers and image acquisition procedures, we will be able to retrieve information, not within reach by any other photonics-based technique. By extending operation to the near infrared, a hitherto un-accessible spectral range for SRM, we will strongly reduce phototoxicity and scattering, increase penetration depth and provide an additional spectral window for multiplexing. The developed prototype will allow nanometer-scale protein localization patterns to be resolved and to be placed in a cellular context by overlaid morphological, biochemical and metabolic images generated by label-free stimulated Raman scattering (SRS) and two-photon excitation (TPE). In a lead application, we will use the unique capabilities of the to-be-developed technology to study the molecular mechanisms underlying pneumococcal disease, largely attributed to localization patterns of specific bacterial surface proteins, and their intricate interactions with immune and host target cells. Pneumococci are a major contributor to morbidity and mortality worldwide and we aim to provide vital information which can lead to new treatments and vaccines. We will also offer hands-on access to the technology to researchers from both academia and industry in an open demonstration facility. Together with the lead application, this will generate demand for microscopes, lasers and detectors, which the industrial partners will develop subsequent to this project based on the prototypes, further strengthening Europe´s industrial position in the microscopy field.

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data