Fluorescence molecular imaging (FMI) is becoming a powerful tool to improve surgical precision and diagnostics. Although significant advances have been made in imaging technology and contrast agents, debate continues regarding suitable standards for FMI. Standardizing all FMI aspects is crucial for adoption in clinical procedures and routine practice. Currently, the lack of clear-cut guidelines on FMI study reporting complicates comparison between studies and impedes standardization. This work presents community-driven REFLECT guidelines for FMI study reporting for fluorescence-guided surgery and interventions, covering preclinical, translational, and clinical studies. It aims to improve quality of reporting, enable comparison between studies, and enhance interpretation of results. The resulting structured checklist encompasses all essential details for reporting on the contrast agent, imaging device, imaging protocol, and image processing and analysis methods. Adoption of this framework is encouraged to enhance reproducibility and establish alignment with standardization efforts in the field - thus fostering advancements in FMI.

This review paper presents an assortment of research on a family of photodetectors which use the same base mechanism, current assistance, for the operation. Current assistance is used to create a drift field in the semiconductor, more specifically silicon, in order to improve the bandwidth and the quantum efficiency. Based on the detector and application, the drift field can be static or modulated. Applications include 3D imaging (both direct and indirect time-of-flight), optical receivers and fluorescence lifetime imaging. This work discusses the current-assistance principle, the various photodetectors using this principle and a comparison is made with other state-of-the-art photodetectors used for the same application.

Fluorescence imaging has been widely used in fields like (pre)clinical imaging and other domains. With advancements in imaging technology and new fluorescent labels, fluorescence lifetime imaging is gradually gaining recognition. Our research department is developing the tauCAM^TM, based on the Current-Assisted Photonic Sampler, to achieve real-time fluorescence lifetime imaging in the NIR (700–900 nm) region. Incorporating fluorescence lifetime into endoscopy could further improve the differentiation of malignant and benign cells based on their distinct lifetimes. In this work, the capabilities of an endoscopic lifetime imaging system are demonstrated using a rigid endoscope involving various phantoms and an IRF-free deep learning-based method with only 6-time points. The results show that this application’s fluorescence lifetime image has better lifetime uniformity and precision with 6-time points than the conventional methods.

A 64 × 64-pixel current-assisted photonic sampler (CAPS) image sensor is designed for real-time fluorescence lifetime (FLT) imaging. Current-assistance is used for swift detection and time-gating of the photogenerated carriers within the whole substrate. An additional bias node is used to decrease the dynamic power consumption and a photogate is applied to the sensor to reduce the carrier transfer time. The sensor is fabricated in a commercial 350nm CMOS process on a 15μm epi-layer, with 30μm pixels and a 61% fill factor. The pixel features gating widths below 1 ns subject to a 17 ps standard deviation on the gate width uniformity, and a 31 ps standard deviation on its temporal position. The pixel has a quantum efficiency (QE) above 40% for near-infrared (NIR) wavelengths, whereas the peak QE is 61% at 675 nm. The gate’s intrinsic decay is observed to be 320 ps, which allows for the FLT imaging of sub-nanosecond lifetime dyes. The real-time FLT imaging capabilities are demonstrated on commercial fluorescence phantoms and in a preclinical experiment.

Correlation-Assisted Direct Time-of-Flight (CA-dToF) is demonstrated for the first time with a 320×240-pixel SPAD array. SPAD triggers are processed in-pixel, avoiding data communication over the array and/or storage bottlenecks. This is accomplished by sampling two orthogonal triangle waves that are synchronized with short light pulses illuminating the scene. Using small switched-capacitor circuits, exponential-moving-averaging (EMA) is applied to the sampled voltages, delivering two analog voltages (VQ2, VI2). These contain the phase delay, or the time of flight between the light pulse and photon’s time of arrival (ToA). Uncorrelated ambient photons and dark counts are averaged out, leaving only their associated shot noise impacting the phase precision. The QVGA camera allows capturing depth-sense images with sub-cm precision over 6-m range of detection, even with a small PDE of 0.7% at 850-nm wavelength.

Correlation-Assisted Direct Time-of-Flight (CA-dToF) is demonstrated for the first time on a large 320 × 240-pixel SPAD array sensor that includes on-chip high-speed timing support circuitry. SPAD events are processed in-pixel, avoiding data communication over the array and/or storage bottlenecks. This is accomplished by sampling two orthogonal triangle waves that are synchronized with short light pulses illuminating the scene. Using small switched-capacitor circuits, exponential moving averaging (EMA) is applied to the sampled voltages, delivering two analog voltages (VQ2, VI2). These contain the phase delay, or the time of flight between the light pulse and photon’s time of arrival (ToA). Uncorrelated ambient photons and dark counts are averaged out, leaving only their associated shot noise impacting the phase precision. The QVGA camera allows for capturing depth-sense images with sub-cm precision over a 6 m range of detection, even with a small PDE of 0.7% at an 850 nm wavelength.