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Single-Photon, Deep Sub-Nanosecond Integrated Circuits for Fluorescence Lifetime Imaging Microscopy (abstract)

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Single-Photon, Deep Sub-Nanosecond Integrated Circuits for Fluorescence Lifetime Imaging

Microscopy

Yuki Maruyama and Edoardo Charbon TU Delft

Mekelweg 4, 2628CD Delft, The Netherlands A time-resolved CMOS image sensor for fluorescence lifetime imaging microscopy (FLIM) is presented. The sensor pixel consists of a single-photon avalanche diode (SPAD), a deep sub-nanosecond time gating circuitry, and a 1-bit NMOS memory.

Fig. 1(a) shows the schematic of the time gating circuitry and the SPAD. Time gating is achieved via a sliding-time window scheme [1]. The timing diagram for time-correlated single photon counting (TCSPC) operation is shown in Fig. 1(b). Each pixel’s state is stored in a 1-bit memory that is read out in rolling shutter mode, accumulated and serialized on-chip, and formatted for USB communication off-chip. The sliding-time window is applied every 200ps time steps as described in [2]. Fig. 1(c) shows the chip micrograph, as well as a close-up of the pixel. The excellent median dark count rate (DCR), 53Hz at excess bias (Ve) of 3V, was

measured at room temperature. The DCR per active area is as low as 1.88Hz/Pm2. The median photon detection

probability (PDP) is 43.6% at Ve of 4V. Fluorescence

images, mixed pollen grains (Carolina Biological Supply Company, NC, USA), were taken under the fluorescent microscope (BX51IW, Olympus, Japan). As shown in raw image (Fig. 2(b)), only 0.73% of the pixels have high noise (higher than 1kHz at Ve of 3V), which is more than

a factor of 20 lower than that of [3]. Additionally, hot pixels are easily be removed by median filtering, as shown in Fig. 2(b).

New evidence of optical crosstalk in a large array format was observed for the first time. Fig. 3(a) shows a close-up of a typical noisy pixel which is saturated at a lower Ve (circled area in the lower portion). The crosstalk

expands increasing Ve. Fig. 3(b) shows the DCR change in

neighbor pixels at different Ve conditions. The activity of

the high-noise or “hot” pixel radiates into neighbor pixels. This evidence implies that it is caused by photon emission from noisy pixel. Therefore, a hot pixel elimination technique will become important for further image quality improvement.

Fig. 1. (a) Schematic diagram. (b) Timing diagram. (c) Chip photomicrograph of the sensor. Time gating is achieved through transistors Tspadoff, Trecharge and Tgate. The column decoder is used

to serialize the data coming from the array onto two serial channels via the 16-bit shift resistor. The chip was fabricated in a 0.35Pm HV CMOS technology. The pixel pitch and a total area are 25Pm and 20.5mm2, respectively.

      D       E PP

Fig. 2. Fluorescence image of mixed pollen grains obtained with 50k frames at a total exposure time of 2.46s. (a) Raw image. (b) After median filtering.

3.3V 4.3V 5.3V 6.3V PP (a) 0 5000 10000 15000 20000 -100 -50 0 50 100 Counts (Hz)

Distance from the noisy pixel (Pm)

Ve=6.3V

5.3V 4.3V 3.3V

Fig. 3. (a) Close-up images of a hot pixel taken in the dark at various Ve from 3.3V to 6.3V. The images clearly show that the

optical crosstalk is dominant over electrical crosstalk. (b) DCR distribution around a hot pixel. The photon emission from a hot pixel raises the DCR in neighboring pixels, which are located 25Pm to 75Pm away.

Table 1. Performance summary.

Parameter Value

Array format 128 x 128

Pixel size 25 x 25 Pm2

Typical breakdown voltage 19.1 V

Fill factor 4.5 % Median DCR @ Ve=3V 53 Hz Peak median PDP @ 465nm 43.6 % @ Ve=4 V Measurement range 9.6 ns Jitter (FWHM) 230 ps Frequency of operation 40 MHz Frame rate 2,400 fps Total IO bandwidth 40 Mbps Power consumption @ Vdd = 2.5 V 360 mW

During the presentation, FLIM results taken from a multistained pine pollen grain will also be discussed. The paper also outlines advances in single-photon detection and data processing, monolithically integrated in deep-submicron CMOS technologies. Several examples are given of the single-photon detector arrays, their readout architectures, and functionality. The trends of single-photon detector arrays in other bioimaging fields, such as positoron emission tomography (PET), fluorescence correlation spectroscopy (FCS), super-resolution optical microscopy, are also discussed in detail.

Reference

[1] D. Stoppa, D. Mosconi, L. Pancheri, and L. Gonzo, IEEE Sens. J. 9, 9, pp. 1084-1090 (2009).

[2] Y. Maruyama and E. Charbon, in Proc. of the Transducers’11, pp. 1080-1083 (2011).

[3] C. Veerappan, J. Richardson, R. Walker, D. Li, M.W. Fishburn, Y. Maruyama, D. Stoppa, F. Borghetti, M. Gersbach, R.K. Henderson, E. Charbon, in Proc. of the ISSCC, pp. 312-314 (2011). 923 9 '' 63$' 7JDWH 7VSDGRII 7UHFKDUJH ELW PHPRU\ ,QSXW (a) 7VSDGRII PHPRU\LQSXW 7UHFKDUJH 7JDWH 63$'DFWLYH 63$'DQRGH PHPRU\RXWSXW 3KRWRQ 3KRWRQ :ULWH 5HWHQWLRQ /DVHUSXOVH 0+] QV QV QV (b) ELWFRXQWHU VKLIWUHJLVWHU 'HOD\FDQFHOOHUDQG%XIIHU &ROXPQGHFRGHU 'HOD\OLQH 5 R Z G H F R G H U [ 63$'DUUD\ 'HOD\FDQFHOOHUDQG%XIIHU PP 63$' (c) 6DWXUDWLRQ (b) Abstract #812, 221st ECS Meeting, © 2012 The Electrochemical Society

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