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R41
A TIME-GATED 128X128 CMOS SPAD ARRAY FOR ON-CHIP
FLUORESCENCE DETECTION
Y. Maruyama and E. Charbon
Circuits and Systems, Delft University of Technology, Delft, The Netherlands
E-mail: [email protected], Tel: +31 (0)15 27 83663, Fax: +31 (0)15 25 86190
USB 2.0 interface
USB
module
FPGA
USB
controller
200ps
Delay-line
FIFO
memory
Control
signal
128 x 128
CMOS SPAD array
Propagation delay canceller
600ps
Delay-line
16bit counter / shift register
Column decoder
Fig. 1. Block diagram of the proposed sensor.
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.
Excitation light
< Fluorescence decay >
Laser pulse
Fluorescence
Counts
Chip architecture
The device is based on an array of SPADs
capable of detecting single photons and their
time-of-arrival at high accuracy. Fig. 1 shows
the block diagram of the proposed system. To
achieve time-resolved optical detection, a time
gating circuitry, and a NMOS 1bit memory
were implemented in-pixel. The necessary
timing control signals are generated by a
combination of an on-chip 600ps delay line and
an off-chip 200ps delay line. Time-resolved
imaging is achieved via a sliding-time window
scheme [4]. Time-correlated, single-photon
counting (TCSPC) is performed by activating
and deactivating the SPAD as shown in Fig. 2a.
Time gating is achieved by turning off Tspadoff
Propagation delay canceller
Row decoder
Introduction
A micro total analysis system (-TAS) is a
miniaturized laboratory to perform rapid
reactions, using extremely reduced sample
volumes, and to efficiently process flow-based
assays for applications in chemistry,
biochemistry and the life science. To date,
analysis is still performed by fluorescence
microscopes, even though bulky and expensive,
since they enable the highest flexibility.
On-chip fluorescence detection has been
extensively studied and demonstrated based on
CMOS image sensors targeting -TAS [1],
point-of-care testing (POCT) devices [2], and in
vivo fluorescence imaging [3].
In this paper we propose a low-cost, fully
integrated on-chip fluorescence sensor based on
a SPAD. In addition, the sensor has timeresolved imaging capability that is generally
available only in the most advanced instruments.
and subsequently turning on Trecharge and Tgate,
as shown in Fig. 2b. The sliding-time window
is applied globally to the entire array. The inpixel 1-bit memory holds the state of the SPAD
between readout cycles. When the system is
operating at 40MHz, 16,384 excitation laser
pulses reach the fluorescent samples on-pixel
each frame of 409s while only the first
successful detection is observed. Additionally,
the stored data are read out in rolling shutter
mode to minimize the inactive time of the pixel.
This exposure method is sufficient to detect
fluorescent objects in photon-starved regimes.
The entire pixel architecture is shown in Fig. 2c.
Reset signal generator
Abstract
An all-digital, time-gated 128x128 CMOS
image sensor for on-chip fluorescence detection
is presented. The sensor pixel consists of a
single-photon avalanche diode (SPAD), time
gating circuitry and a 1bit memory. The sensor
allows on-chip fluorescence detection and
fluorescence lifetime imaging microscopy
(FLIM) for on-chip molecular detection such as
DNA, protein and cancer markers.
t1
Fluorescence
SPAD
time
t2
VOP
tn
VDD
Tspadoff
Tgate
1bit memory input
Trecharge
(a)
1cm
Delay canceller and Buffer
Tspadoff
Row decoder
Trecharge
Tgate
SPAD active
Photon
Photon
128 x 128
SPAD imager
USB 2.0 interface
128 x 128
SPAD array
FPGA
Custom-made PCB
SPAD anode
Delay canceller and Buffer
memory input
16bit counter
shift register
Delay-line
memory output
Write
0.5mm
Retention
Column decoder
Spartan-3 board
Clock input
(a)
(b)
VDD
TopGate
VOP
SPAD
VDD
Tspadoff
VDD
Tgate
RPU
VDD
Trow_sel
TFLIM
SPAD
Trecharge
Treset
(c)
Fig. 2. Schematic diagram of the pixel. (a) Timegated fluorescence detection. Time gating is
achieved through transistors Tspadoff, Trecharge and
Tgate. (b) Simplified timing diagram of the timegated operation. The memory state is reset 1ns
after readout cycle. (c) Overall pixel schematics,
including the latch, reset controls, and readout
interface.
25m
(b)
Fig. 3. Time-gated, on-chip fluorescence detection
system. (a) Photomicrograph of the sensor chip
and a readout system. The column decoder is used
to serialize the data coming from the array onto
two serial channels via the 16bit shift resistor. (b)
Close-up of the pixel.
10 4
Results
Fig. 3 shows a microphotograph of the sensor
and a picture of the entire setup. The chip was
fabricated in a 0.35m standard CMOS
technology. The pixel pitch and a total area are
25m and 20.5mm2, respectively.
Fig. 4 shows the dark count rate (DCR)
cumulative probability plotted for different
excess bias (Ve) conditions from 3.3V to 6.3V
at room temperature. The median DCR of this
chip, 186Hz at Ve of 3.3V, is superior to that
measured in [5], whereas the DCR per active
area is 9.48Hz/m2.
Fig. 5 shows the raw and median filtered
fluorescence image of a lily pollen grain sample.
Thanks to its excellent DCR performance, a
high quality image was captured in photonstarved regime (in this case, less than 17kcps
per pixel). As shown in raw image, only 0.87%
of the pixels have high noise (higher than 1kHz
at Ve of 3.3V).
V e =6.3V
5.3V
10 3
4.3V
3.3V
10 2
10 1
0
20
40
60
80
100
Fig. 4. Dark count rate (DCR) cumulative
probability under various excess bias conditions
at room temperature.
0
50k
counts
64
0
25m
127
0
64
(a)
127
0
15000
10000
5000
V =6.3V
e
5.3V
64
0
-100
0
25m
0
64
127
(b)
Fig. 5. Fluorescence image of a lily pollen grain
(Mixed pollen grains, Carolina Biological Supply
Company, NC, USA) obtained with 50,000 frames
at an integration time of 2.95s. (a) Raw image. (b)
After median filtering.
New evidence of optical crosstalk was
observed for first time in this technology. Fig. 6
shows close-up pictures of a noisy pixel in
saturation at a Ve of 2.3V. The crosstalk
expands increasing Ve. Fig. 7 shows the dark
count rate 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 the crosstalk is caused by
photon emission from noisy pixel rather than a
voltage drop of power supply lines or electrical
signal interference.
Therefore,
an on-chip hot
VOP=21.4V
VOP=21.9V
VOP=22.4V
pixel elimination technique will become
important to improve image quality.
Ve=2.3V
2.8V
3.3V
Counts (Hz)
20000
127
Saturation
V =6.3V
5000
e
5.3V
4.3V
3.3V
-50
0
VOP=24.4VVOP=24.9VVOP=25.4V
5.8V
6.3V
50
100
Distance from the noisy pixel (m)
Fig. 7. DCR distribution around a hot pixel. The
photon emission from hot pixel raises the DCR in
neighboring pixels, which are located 25m to
75m away.
Finally, the chip was tested as an on-chip
DNA detector based on time-resolved
fluorescence imaging. Three different
concentrations of Cy5 linked DNA (30mer),
36M, 18M, and 9M, were placed on the
sensor surface and dried. Time-resolved
fluorescence detection was performed 3ns after
the laser pulse for 8ns, as shown in
Fig. 8. Fig. 9a shows a 2D fluorescence
image from each DNA spot. A limit of
detection (3) of 14.6M (8.8x108 molecules
per pixel) was successfully observed as shown
in Fig. 9b. Table 1 summarizes the measured
data.
1500
104
1000
Counts
4.8V
100
10000
36uM
36M
18uM
18M
9M
9uM
4.3V
50
15000
25m
5.3V
0
Distance from the noisy pixel (m)
0
-100
VOP=22.9VVOP=23.4VVOP=23.9V
3.8V
4.3V 3.3V
-50
FWHM = 230ps
1000
Counts
50k
counts
Counts (Hz)
20000
100
10
0
0.5
1
1.5 2
Time (ns)
2.5
3
500
0
3
4
5
6
7
8
Time (ns)
Fig. 6. Close-up images of a “hot” pixel taken in
the dark at various Ve from 2.3V to 6.3V. The
images clearly show that the optical crosstalk is
dominant over electrical crosstalk.
Fig. 8. Histogram of photon counts from each
DNA spot during time gating. The fluorescent
label is Cy5 (ex=643nm, em=667nm), a 637nm
pulsed laser is used for excitation light source.
The inset shows a median FWHM IRF of 230ps
over the entire array.
0
36M
20k
counts
64
18M
9M
0
127
64
0
127
(a)
25000
Counts (arb. unit)
20000
502 counts/M
Conclusions
An all-digital, time-gated CMOS SPAD
image sensor was proposed and demonstrated
as an on-chip DNA sensor by employing the
sliding-time-gating technique. The pulsed
excitation light was successfully removed by
proper setting of the SPAD activation start
timing. Thanks to its single-photon sensitivity
and time-resolved measurement capability,
faint fluorescence signals were successfully
detected from Cy5 labeled DNA molecules.
The molecules were placed directly on the
surface of the imager. The new approach for
on-chip fluorescence detection reported here
offers an exciting CMOS based analysis tool
for -TAS and POCT systems.
n = 100
15000
10000
5000
0
5
10
15
20
25
30
35
40
DNA concentration (M)
(b)
Fig. 9. On-chip fluorescence detection. (a) 2D
fluorescence image from each DNA spot with an
integration time of 175ms. (b)The increment of
502 count/M was obtained on average over
100pixels. An LOD of 14.6M was measured
without using any optical filters.
Table 1. Performance summary.
Parameter
Array format
Pixel size
Value
Unit
128 x 128
25 x 25
m2
Fill factor
4.5
%
Median DCR @ Ve=3.3V
Photon detection probability @
Ve=3.3V
Detection limit of DNA (LOD)
186
Hz
20 @ 465nm
%
14.6
M
200
ps
Measurement range
9.6
ns
Jitter (FWHM)
230
ps
40
MHz
Time resolution (LSB)
Frequency of operation
Frame rate
Total IO bandwidth
Power consumption @ Vdd =
2.5V
Photo response non uniformity
(PRNU)
2441
Fps
40
Mbps
363
mW
3.5
%
Acknowledgements
The authors acknowledge P. Brühlmeier of
the École Polytechnique Fédérale de Lausanne
(EPFL) for PCB layout. The authors would also
like to thank M. W. Fishburn of Delft
University of Technology for many invaluable
discussions.
References
[1] V. Namasivayam, R. Lin, B. Johnson, S.
Brahmasandra, Z. Razzacki, D. T. Burke and
M. A. Burns, “Advances in on-chip
photodetection
for
applications
in
miniaturized genetic analysis systems”, J.
Micromech. Microeng., 14, 2004.
[2] Y. Maruyama, K. Sawada, M. Ishida,
“Multiwavelength Photosensor for On-Chip
Real-Time Monitoring of Fluorescence and
Turbidity”, Jpn. J. Appl. Phys., 48, 067003,
2009.
[3] A. Tagawa, M. Mitani, H. Minami, T. Noda,
K. Sagawa T. Tokuda, and J. Ohta,
“Complementary
Metal
Oxide
Semiconductor Based Multimodal Sensor for
In vivo Brain Function Imaging with
Function for Simultaneous Cell Stimulation”,
Jpn. Appl. Phys. 49, 04DL02, 2010.
[4] D. Stoppa, D. Mosconi, L. Pancheri, and L.
Gonzo, “Single-Photon Avalanche Diode
CMOS
Sensor
for
Time-Resolved
Fluorescence Measurements”, IEEE Sensors
Journal, Vol. 9, No. 9, Sep. 2009.
[5] C. Niclass, Ph.D. dissertation no. 4161,
EPFL, Switzerland, Reprint: Hartung-Gorre
Verlag, ISBN-10: 3-86628-220-6, 2008.