Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

SelfDriving4DSR

Financiado

Enabling Live Cell 4D Super Resolution Microscopy Guided by Artificial Intellige...

Enabling Live Cell 4D Super Resolution Microscopy Guided by Artificial Intelligence Most fundamental biomedical discoveries are carried by indirect observation, due to our inability to follow molecular-level cellular processes non-invasively in living samples. There is a major need to develop the capacity to dire... ver más

30/06/2026

FUNDACAO CALOUSTE...

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

FUNDACAO CALOUSTE GULBENKIAN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-02-11

ERC-2020-COG: ERC CONSOLIDATOR GRANTS

I+D

Cerrada hace 4 años

0% 100% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

FUNDACAO CALOUSTE GULBENKIAN

2.00M€ | Lider

ALBATROS, SL

1.29M€ | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

CyberScoPy Smart, Event-Based Microscopy for Cell Biology 150K€ Cerrado

UNPO15-CE-3235 Implementación de Altas Tecnologías de Microscopía en el CAB... 115K€ Cerrado

NANO4LIFE High throughput 4D imaging for nanoscale cellular studies 2M€ Cerrado

FLUOSWITCH Pushing the frontiers of biological imaging with genetically... 2M€ Cerrado

LowLiteScope A light-efficient microscope for fast volumetric imaging of... 150K€ Cerrado

MICS Multiphoton imaging with computational specificity 192K€ Cerrado

Duración del proyecto: 64 meses Fecha Inicio: 2021-02-11
Fecha Fin: 2026-06-30

Líder del proyecto

FUNDACAO CALOUSTE GULBENKIAN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Most fundamental biomedical discoveries are carried by indirect observation, due to our inability to follow molecular-level cellular processes non-invasively in living samples. There is a major need to develop the capacity to directly observe the molecular basis of cell regulation at relevant spatial and temporal scales. My work has focused on establishing Next-Generation Super-Resolution Microscopy able to accurately describe the nanoscale structure of living-cells, beyond the capacity of conventional imaging. Despite significant advancements, Super-Resolution Microscopy does not allow observations for more than a few minutes before damaging high-intensity illumination compromises cell behaviour. Better fluorophores and optics can partly address this problem; however, a fundamental limitation remains - humans drive imaging. In microscopy, researchers take educated guesses on how to observe a sample based on empirical criteria. Acquisition settings are then kept static, despite the diversity of spatiotemporal scales associated with cell behaviour in health and disease. This project will solve these challenges by establishing self-driving microscopes, able to adapt in real-time to the biological phenomenon under observation. Doing so, I will enable the capacity for unprecedented 4D imaging data optimised for content, resolution and quality while remaining non-invasive for long periods of time. To this end, I will bridge and evolve cutting-edge concepts in Computational Optical Microscopy and Machine Learning, effectively establishing Machine Learning Guided 4D Super-Resolution Microscopy. These approaches will enable 4D live-cell nanoscopic imaging over record periods and challenge the assumption that microscopy needs to obey homogeneous temporal sampling. Its enabling capacity will be demonstrated by visualising nanoscale cellular events previously unseen over hours, such as the molecular-level progression of viral infection.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores