A Scalable Architecture for Multi Millions Frames per Second CMOS Sensor With Digital Storage

Uhring, Wilfried; Millet, Laurent; Misischi, Bertrand; Rarbi, F.; Guellec, Fabrice; Dzahini, D.; Maciu, Octavian; Kammerer, Jean-Baptiste; Sicard, Gilles

doi:10.1109/newcas.2018.8585644

Cited by 3 publications

(6 citation statements)

References 9 publications

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“…134,150 Recently, electron-transfer-based temporal shearing has also been implemented in a streak-camera sensor. 167,168 Hundreds of sampling and storage cells are placed underneath a line of photodiodes. During the sensor's exposure, the 1D signal is sampled and sequentially stored at a temporal resolution of 500 ps.…”

Section: Temporal Shearing Unitmentioning

confidence: 99%

“…213 Selecting a multifunctional component (e.g., a metalens and a TDI sensor) provides another approach to reducing the number of optical elements in CUP systems. Advances in sensor design and nanofabrication could provide the streak imaging sensor 167,168 with a 2D FOV. All efforts will contribute to engineering compact and even miniature CUP systems in the future.…”

Section: Higher Dimensionsmentioning

confidence: 99%

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Tutorial on compressed ultrafast photography

Lai,

Marquez,

Liang

2024

J. Biomed. Opt.

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. Significance Compressed ultrafast photography (CUP) is currently the world’s fastest single-shot imaging technique. Through the integration of compressed sensing and streak imaging, CUP can capture a transient event in a single camera exposure with imaging speeds from thousands to trillions of frames per second, at micrometer-level spatial resolutions, and in broad sensing spectral ranges. Aim This tutorial aims to provide a comprehensive review of CUP in its fundamental methods, system implementations, biomedical applications, and prospect. Approach A step-by-step guideline to CUP’s forward model and representative image reconstruction algorithms is presented with sample codes and illustrations in Matlab and Python. Then, CUP’s hardware implementation is described with a focus on the representative techniques, advantages, and limitations of the three key components—the spatial encoder, the temporal shearing unit, and the two-dimensional sensor. Furthermore, four representative biomedical applications enabled by CUP are discussed, followed by the prospect of CUP’s technical advancement. Conclusions CUP has emerged as a state-of-the-art ultrafast imaging technology. Its advanced imaging ability and versatility contribute to unprecedented observations and new applications in biomedicine. CUP holds great promise in improving technical specifications and facilitating the investigation of biomedical processes.

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Section: Temporal Shearing Unitmentioning

confidence: 99%

Section: Higher Dimensionsmentioning

confidence: 99%

Tutorial on compressed ultrafast photography

Lai,

Marquez,

Liang

2024

J. Biomed. Opt.

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“…Implementing SRAM will involve partitioning issues (one cut for several pixels) and local pixel addressing considerations. For instance this SRAM partitionning has already been investigated in the context of high speed imaging [8].…”

Section: Embedded Digital Memorymentioning

confidence: 99%

“…A 3D stacked IC approach overcomes these restrictions by allowing a distribution of electronic functions on dedicated tiers [8]. Top tier photodiodes can benefit from imaging technology and backside illumination for a maximal sensitivity, while the bottom tier provide room for in-pixel memories without sacrifying the fill factor (Fig.…”

Section: Introductionmentioning

confidence: 99%

A 5 Million Frames Per Second 3D Stacked Image Sensor With In-Pixel Digital Storage

Millet

Vigier

Sicard

et al. 2018

ESSCIRC 2018 - IEEE 44th European Solid State Circuits Conference (ESSCIRC)

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A CMOS burst image sensor reaching 5Mfps with 52 frames in-pixel digital memory has been designed and tested. It fully takes advantage of 3D stacked technology to implement a scalable architecture for 8-bits quantization and data storage at pixel level in CMOS technology. This imager also benefits from backside illumination (BSI) for improved fill factor and wide spectrum sensitivity. A demonstrator has been fabricated, embedding two types of 3D based pixel. In this paper we present the very first experimental test results of 3D stacked in-pixel digital burst image sensor. These results show advantages of using 3D technology to obtain a very high frame rate with both relaxed design conditions and readout timing constraint compared to conventional high speed burst image sensors.

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“…Several high-speed pixel front-end architectures have been reported such as CCD [7], pinned photodiodes [3], buffered and non buffered direct injection [8], Classic 4T pixel [5] or capacitive feedback transimpedance amplifiers [6], but none of these architectures offers a High Dynamic Range (HDR) feature. The HDR feature consists to capture an image with very different intensity levels without saturating.…”

Section: Introductionmentioning

confidence: 99%

A High Dynamic Range High Speed Pixel Operating at 100 Million Frames Per Second

Hugoud¹,

Uhring²,

Kammerer³

et al. 2020

2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)

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The burst imaging concept is a specific imaging method than allows achieving a pixel rate of about 1 Tera pixel per second. This huge data rate can be reached by storing the video frames within the sensor, thus circumventing the bottleneck of the input/output of the sensor. Consequently, a frame rate of several Mega frames per second (Mfps) can be obtained and the use of a fast pixel front end is mandatory. In this paper, a pixel front able to operate at a frame rate of 100 Mfps is proposed. Based on a current mirroring integration approach, it offers a high dynamic range feature compatible with the record of the very fast moving object without blurring effect. The feature is carried out by mirroring in parallel the photocurrent into several integration capacitances. The pixel consumption is as low as 12 µW for one single gain branch at 10 Mfps and 118 µW at a frame rate of 100 Mpfs.

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A Scalable Architecture for Multi Millions Frames per Second CMOS Sensor With Digital Storage

Cited by 3 publications

References 9 publications

Tutorial on compressed ultrafast photography

Tutorial on compressed ultrafast photography

A 5 Million Frames Per Second 3D Stacked Image Sensor With In-Pixel Digital Storage

A High Dynamic Range High Speed Pixel Operating at 100 Million Frames Per Second

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