How It Works

  • December 2019
  • PDF

This document was uploaded by user and they confirmed that they have the permission to share it. If you are author or own the copyright of this book, please report to us by using this DMCA report form. Report DMCA


Overview

Download & View How It Works as PDF for free.

More details

  • Words: 2,202
  • Pages: 4
Technology aspects of a CMOS Neuro-Sensor: Back End Process and Packaging Franz Hofmann1, Björn Eversmann1, Martin Jenkner1, Alexander Frey1, Matthias Merz2, Tamara Birkenmaier2, Peter Fromherz2, Matthias Schreiter3, Reinhard Gabl3, Kurt Plehnert3, Michael Steinhauser3, Gerald Eckstein3, and Roland Thewes1 1 2

Infineon Technologies, Corporate Research, Otto-Hahn-Ring 6, D-81730 Munich, Germany

Max-Planck-Institute for Biochemistry, Martinsried, Germany, 3 Siemens AG, Munich Germany, [email protected]

Abstract A CMOS-compatible process is presented which allows to realize sensor arrays for non-invasive, extracellular, high density, long term recording of neural activity. A highϑpermittivity bio-compatible dielectric is used to capacitivly couple nerve cell-induced biological signals to the CMOS circuitry-based electronic world. The transducer consists of a multi layer of TiO2 and ZrO2 and is fabricated in the backend of a 0.5 µm standard CMOS technology. Living cells are cultured within a specific package on top of the sensor chip. First measurements reveal proper operation of the chip.

1. Introduction Neuro-sensor arrays monitor signals of living nerve cells or neural tissue. They are a key tool in neurosciences and offer an approach to fast and statistically significant cell-based pharma screening. The elementary signals of neurons (action potentials) are temporal changes of the transmembrane voltage associated with K+ and Na+ currents through ion channels within the cell membrane [1]. When neurons within a grounded electrolyte are brought in intimate contact with an extracellular electrode covered by a dielectric layer, a cleft of order 50 nm between cell membrane and dielectric is obtained. Membrane currents that flow through the cleft lead to a potential drop due to the resistance of the electrolyte within the cleft. As shown in [1], this voltage signal can directly be used to control the charge within a transistor channel. However, until today usually only comparatively simple sensor structures are used, which consist of bulk silicon with diffused junctions and channel areas directly covered by the sensor dielectric. Recently, a large sensor array with 128 ⌠ 128 pixels within an area of 1 mm2 has been published [2]. Realization of such arrays requires full CMOS interconnect options and on-chip circuitry. In this work, processing issues are discussed in detail.

2. Sensor Setup In Fig. 1a), the realized neuro-sensor principle is schematically depicted. The sensor is comprised of an integrated CMOS circuit connected to an electrode coated with an isolating dielectric layer. Neurons can be cultivated upon the sensor and adhere to the dielectric layer. As shown in the equivalent circuit of the sensor (Fig. 1b)), the electrolyte potential within the cleft is coupled to the gate of a MOSFET via a capacitve voltage divider consisting of the sensor electrode and the gate capacitance itself. Modulation of the cleft potential induced by an action potential of the cell leads to modulation of the transistor gate voltage. The resulting modulation of the drain current is further amplified and transferred to the outputs of the chip.

a)

b)

firing neuron cleft resistance RC

neuron cleft dielectric

via

electrode

MOSFET

M

dielectric capacitance CD CG

standard CMOS process

Figure 1: Schematic cross section of a CMOS chip with a neuron cell on top (a) and equivalent circuit diagram (b).

Due to the range of the extracellular signal between 100 µVpp and 5 mVpp, a high sensitivity of the sensor circuit is required. Sensor transistor mismatch, noise and drift have to be considered. As the transistor mismatch (″(Vth) of 4.2 mV at an area of 11 µm²) is larger than the actual signal, an auto-calibration technique of the pixel is

used [2]. Fig. 2 shows a schematic of the pixel circuit including neuron, electrode, pixel transistor, and switches used for selection of a pixel (sel), calibration (cal), and readout (read). In the calibration mode, switch 'read' is open, switches 'cal' and 'sel' are closed. The pixel transistor works in a diode configuration and a drain current is forced into the device by a constant current source. When switch 'cal' is opened, the charge stored on the gate node of the pixel transistor exactly corresponds to the current forced in, independently of the transistor’s individual device parameters. In the readout mode, switch 'read' is closed, the drain voltage is kept constant, and changes of the drain current represent the modulation of the electrolyte voltage within the cleft. In order to provide high signal sensitivity, the electrode capacitance should be sufficiently high to reduce the noise and ensure signal integrity. Furthermore the transfer-function depends on the capacitve voltage divider CD/CG. Using a high-permittivity dielectric increases the signal swing at the transistor gate. The leakage current of the sensor dielectric should be below 30 nA/cm2. This value results from choosing the leakage current of switch transistor 'cal' in Fig. 2 as tolerable maximum.

neuron

sputtered. The pads are opened using photo-lithography and reactive ion etch of TiO2 with a stop at the Pt layer, which cannot be etched by RIE satisfactory. Metalization of the pads is performed by evaporation of Au in a liftoff process. This process module circumvents etching of the metal with a stop on the dielectric layer to avoid damage of this layer. Fig. 4a) shows a SEM cross section of the sensor. The transistors below the pixel can clearly be identified. The tilted SEM in Fig. 4b) illustrates a part of the fabricated sensor array. Pixel electrode diameter is 4.5 µm, sensor pitch is 7.8 µm. b) Cr/ Pt

a) Si3N4 SiO2

SiO2

Gate Si-wafer d)

Figure 3: a) CMOS process b) photo technique; etch nitride/ oxide; deposit barrier Ti/TiN; tungsten fill; CMP tungsten, Ti/TiN; photo technique; evaporate Cr/Pt; lift off Cr/Pt c) sputter TiO2/ ZrO2 d) photo technique; (only at pads): etch TiO2/ ZrO2 ; evaporate Pt/Au; lift off Pt/Au.

Au TiPt

V pixel transistor sel

a)

IDC

preparation nitride TiO2 /ZrO2 -dielectric

read constant current for calibration

TiO2 /ZrO2

Al2 W Al1

pixel

cal

c)

nitride

amplifier

electrode

via metal 2

Figure 2:

3.

preparation artefact

Simplified schematic of a pixel circuit.

Process

metal 1

gate 1 µm

In Fig. 3, the process used to provide the passivated electrodes is schematically depicted. We start with a CMOS process specifically optimized for analog applications (high-ohmic poly-silicon resistors, polypoly-capacitors), with Lmin = 0.5 µm, tox = 15 nm, VDD = 5 V, n-well, LATID-n-MOS, and LDD-pMOS devices. The sensor-related extra process starts after fabrication of the second aluminum layer and nitride passivation. A via is etched down to the Al layer, which is filled with a Ti/TiN barrier and tungsten. Then, a CMP process step planarizes the wafer surface with an etch stop at the nitride layer. A Cr adhesion layer (20 nm) and a Pt electrode layer (25 nm) are deposited and structured in a lift-off process. As sensor dielectric modified TiO2 is

b) pixel electrode

CMOS layer

Figure 4: a) SEM cross section within the pixel array, b) tilted SEM photograph with circular pixels.

4.

Dielectric 2

Capacitance [F/cm ]

-6

1,1x10

-6

1,0x10

-7

9,0x10

-7

8,0x10

1

Figure 6:

40 nm

TiO2 TiO2

3

4

10

10

Frequency [Hz]

5

10

6

10

Frequency response of the TiO2/ZrO2 dielectric sandwich. -7

Leakage [A/cm ]

-8

10

-9

10

-10

10

-1,00 -0,75 -0,50 -0,25 0,00 0,25 0,50 0,75 1,00

V [V] Leakage current of the TiO2/ZrO2 dielectric.

ZrO2 ZrO2

nitride Figure 5:

10

10

Figure 7:

TiO2

2

10

2

During cell cultivation the sensor dielectric is operated under the condition, that neurons are kept in an environment of media upon the sensor for at least several days. The electrolyte and the cells are highly corrosive. Thus a bio-compatible, leak-proof and absolutely inert dielectric must be used, which does not affect the growth of the biological tissue by formation of corrosion products of either the dielectric or of subjacent CMOS process related materials. As the dielectric is fabricated in the backend of a CMOS process, processing temperature must be below 400°C. For optimum sensor circuit operation high capacitance and low leakage current are required. Whereas pure TiO2 looks promising for this application due to the inertness and the very high dielectric constants reported between 60 and 80 [3], a modified TiO2-based dielectric is used here in order to reduce leakage currents without application of annealing steps. We implemented a multi layer sandwich consisting of TiO2 and ZrO2. ZrO2 is bio-compatible as well and provides a relativly high dielectric constant between 20 and 30 [4]. A stack of 10 nm TiO2, 5 nm ZrO2, 10 nm TiO2, 5nm ZrO2, and 10 nm TiO2 is sputtered. The stacked layer has very low leakage current, similar to stacks in the former generation DRAM memory dielectrics, where ONO was used. A cross section of the dielectric sandwich is given in Fig. 5.

TEM image of the TiO2/ZrO2 sandwich.

Fig. 6 shows the frequency response of this TiO2/ZrO2 stack. Up to 1 Mhz only a slight decay occurs, which is a necessary property to completely charge the gate node in Fig. 2 during the short calibration phase. The ⁄r extracted for this 40 nm dielectric is 45, which approximately amounts to 50 % of pure TiO2. The equivalent oxide thickness (EOT) is 3.4 nm. Fig. 7 shows the leakage current of the stacked dielectric with a top electrode of Pt/Au, formed in a modified process run. The leakage current in the interesting voltage range (<100 mV) is lower than 10-9 A/cm2. This corresponds to a value of 0.1 fA/pixel, which is much lower than the leakage current of the calibration transistor. With an electrode area of 16 µm2 and a gate area of 11 µm2, the coupling ratio CD/CG is about 6, so that 90% of the electrolyte voltage drops at the gate capacitance. Thus the stacked TiO2 dielectric fulfills the requirements of high ⁄ and low leakage.

5.

Package

Fig. 8 shows a cross section of the sensor package of the CMOS neuro-chip [5]. The sensor temperature must be precisely controlled since neural activity is a strong function of this parameter. The sensor die is bonded with an isotropic conductive adhesive to a ceramic package in order to obtain a good thermal conductivity, which is mandatory for sufficient temperature control of the sensor die and of the cell cultures.

outer shell

inner shell

bonding area Figure 8.

chip

epoxy fill

Package of the neuron sensor chip.

socket

6.

intracellular potential

Vcell

a)

50 mV extracellular potential

b)

Vsensor

The compartment contains the media and shields the bond wires, the pads, and the socket from the electrolyte and moisture to avoid corrosion and electronic malfunction. It is self-evident that the compartment must not influence the biology itself. This comparment consists of two plexiglass shells. The inner shell is glued to the die area and the bigger outer shell to the socket. In the space between these two shells the bonding pads of the socket and the chip, and the bonding wires are located. This volume is filled with an epoxy resin to seal the bonds. The whole assembly yields a robust package of the sensor.

Neural activity

1 mV

Fig. 9 depicts the measurement set-up. In the top figure, the sensors with readout-circuitry, compartment and package are schematically depicted. A neuron within the electrolyte, which is cultured on top of the sensor area, is contacted with a microelectrode. The microelectrode is used to apply a stimulation current to elicit action potentials. The bottom photograph shows snail neurons on top of the sensor chip. One neuron is contacted with a micro electrode. First measured data are presented in Fig. 10. There, a constant stimulation current of 100 pA is applied to the cell for 0.5 s. The intracellular potential is detected by an invasive micro electrode is depicted in the upper plot. The lower plot shows the extracellular response of the neuron recorded by the CMOS sensor. The higher sensitivity needed in the extracellular case is achieved by arranging active CMOS circuitry below the pixel.

I

stim V

intra

micro electrode

amplifier

V

extra

micro electrode 100µm

cell

Figure 9: Schematic set up (top) and living neuron cells above.

100 ms Figure 10:

7.

time

intracellular signal (a) extracellular sensing of a firing neuron (b)

Conclusion

Processing and packaging issues of a CMOS sensor array for extracellular recording of neural signals are presented. A process module to provide a bio-compatible high-⁄ dielectric with a sandwich structure of TiO2 and ZrO2 is integrated in the backend of a CMOS technology. Living cells are cultured on top of the sensor. Action potentials of firing neurons are capacitively coupled to the gates of MOS transistors operated as input devices within a detection chip system. References [1] P. Fromherz, “Electrical Interfacing of Nerve Cells and Semiconductor Chips” CHEMPHYSCHEM 3, 2002, p. 276 – 284. [2] B. Eversmann et al, “A 128 x 128 CMOS Bio-Sensor Array for Extracellular Recording of Neural Activity ”, ISSCC, Digest of Tech. Papers, 2003, p. 222-223. [3] S. A. Campbell et al, “Titanium dioxide based gate insulators”, IBM J. RES. DEVELOP. Vol 43, 1999, p. 383-391. [4] H. I. Iwai et al, “Advanced Gate Dielectric Materials for Sub 100 nm CMOS”, IEDM Tech. Digest 2002, p. 625-628. [5] B. Besl and P. Fromherz, “Transistor array with an organotypic brain slice: field potential records and synaptic currents”, European J. of Neuroscience, Vol. 15 2002, p. 999-1005.

Related Documents

How It Works
December 2019 28
Rjs-how It Works
August 2019 31
Viagra - How It Works
May 2020 10
How It Works
November 2019 15