- Optimal architecture for diamond-based wide-field thermal imaging doi link

Auteur(s): Tanos R., Akhtar W., Monneret Serge, Favaro de Oliveira F., Seniutinas G., Munsch M., Maletinsky P., Le Gratiet L., Sagnes I., Dréau A., Gergely C., Jacques V., Baffou Guillaume, Robert-Philip I.

(Article) Publié: Aip Advances, vol. p.025027 (2020)
Texte intégral en Openaccess : openaccess

Ref HAL: hal-02493073_v1
DOI: 10.1063/1.5140030
WoS: 000519594400001
Exporter : BibTex | endNote

Nitrogen-vacancy centers in diamonds possess an electronic spin resonance that strongly depends on temperature, which makes them efficient temperature sensors with sensitivity down to a few mK/√Hz. However, the high thermal conductivity of the host diamond may strongly damp any temperature variations, leading to invasive measurements when probing local temperature distributions. In the view of determining possible and optimal con gurations for diamond-based wide- eld thermal imaging, here, we investigate both experimentally and numeri- cally the effect of the presence of diamonds on microscale temperature distributions. Three geometrical con gurations are studied: a bulk diamond substrate, a thin diamond layer bonded on quartz, and diamond nanoparticles dispersed on quartz. We show that the use of bulk diamond substrates for thermal imaging is highly invasive in the sense that it prevents any substantial temperature increase. Conversely, thin diamond layers partly solve this issue and could provide a possible alternative for microscale thermal imaging. Dispersions of diamond nanoparticles throughout the sample appear as the most relevant approach as they do not affect the temperature distribution, although NV centers in nanodiamonds yield lower temperature sensitivities than bulk diamonds.