Spatiotemporal photon correlation measurements for quantum metrology and super-resolution microscopy.

Operation co-funded by EU cohesion policy (European Regional Development Fund (ERDF)) under the programme Smart growth - PL - ERDF (2014PL16RFOP001), managing authority: Ministerstwo obsługujące ministra właściwego ds. rozwoju regionalnego. The source names no beneficiary for this operation. Location: Trójmiejski (NUTS PL633); Poland. Budget: total eligible expenditure EUR 1,141,880.4; EU co-financing EUR 1,141,880.4 (co-financing rate 100%), as stated by the source. Runs 2018-01-01 to 2023-08-31. Source: Kohesio, EU cohesion policy projects managed by national and regional authorities (not CORDIS). Summary from Kohesio (English machine translation by the source): Within this project we will assemble and characterise an UltraFast single photon sensitive camera. The camera will enable us to detect multiple photons per frame with high spatial and temporal resolution. (Spatial resolution will be limited by the microchannel plate, temporal resolution will be limited by the properties of the image intensifier). Once assembled and characterised, the camera will be applied to wide field quantum sub-diffraction microscopy. The camera will be also applied it to low light phase imaging experiments.

Original source.

Source: Kohesio (EU cohesion policy projects), European Commission, Directorate-General for Regional and Urban Policy (DG REGIO). Retrieved 2026-10-21. Licence: CC0 1.0 (Cohesion Open Data Platform, dataset 2014-2020 Kohesio projects). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: public domain dedication (CC0 1.0).

AI-assisted summary: The project focuses on assembling and characterizing an UltraFast single photon sensitive camera for quantum metrology and super-resolution microscopy, co-funded by the EU with a budget of EUR 1,141,880.4, running from January 1, 2018, to August 31, 2023, in Trójmiejski, Poland. Suggested technology pillar: sensing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.