much the same way that the Turing machine and the Carnot engine suppor t such limit studies for
information processin g and heat engines respectively.
Since the living cell, which is an organic autonomous system, provides an existence proof that
functional and autonomous systems are possible at the scale of a few microns, the size of the nano-
morphic cell is postulated to be of ~10
m
m, a typical size of the living cell (see Table 1.1). In fact, the
living cell is a marvelous machine, which, in order to achieve the goal of staying alive, not only
acquires, processes, and uses information, but also does it at incredibly low rates of energy
consumption in the range of femptowatt to nanowatt. Such levels of power would be a dream target for
electronic microsystems.
There is a parallel in thinking about micron-scale integrated systems to that which occurred when
integrated circuits technology redefined manufacturing of electronic systems. It is hoped that future
research will lead to a similar conceptual leap for the fabrication of systems like the nanomorphic cell.
The studies that follow in this book on limits for the required technologies indicate that a functional
micron-scaled system might be feasible. This suggests possible new research directions in extremely
scaled micro systems and semiconductor bioelectronics, including, for example, integrated micro-scale
energy sources, intelligent microsensor arrays, and very low-energy communication and computation.
References
[1] The International Technology Roadmap for Semiconductors, 2007; <http://www.itrs.net/>
[2] R.K. Cavin, V.V. Zhirnov, D.J.C. Herr Djc, A. Avila, J. Hutchby, Research directions and challenges in
nanoelectronics, J. Nanoparticle Res. 8 (2006) 841–858.
[3] R.K. Cavin, V.V. Zhirnov, Morphic architectures: Atomic-level limits, Mater. Res. Symp. Proc. 1067E
(2008) B01–02.
[4] K.D. Wise, Integrated sensors, MEMS, and microsystems: Reflections on a fantastic voyage, Sensors and
Actuators A 136 (2007) 39–50.
[5] J. Rabaey, J. Ammer, B. Otis, E. Burghardt, Y.H. Chee, N. Pletcher, et al., Ultra-low-power design The
roadmap to disappearing electronics and ambient intelligence, IEEE Circ. Dev. 22 (2006) 23–29.
[6] E.A. Johannessen, L. Wang, S.W.J. Reid, D.R.S. Cumming, J.M. Cooper, Implementation of radiote-
lemetry in a lab-on-a-pill format, Lab on a Chip 6 (2006) 39–45.
[7] B.W. Cook, S. Lanzisera, K.S.J. Pister, SoC issues for RF smart dust, Proc. IEEE 94 (2006) 1177–1196.
[8] A. Kinkhabwala, P. IH Bastiaens, Spatial aspects of intracellular information processing, Current Opinion
in Genetics & Development 20 (2010) 31–40.
[9] A. Wagner, From bit to it: How a complex metabolic network transforms information into living matter,
BMC Systems Biology 1 (2007) 33.
[10] A. Danchin, Bacteria as computer making computers, FEMS Microbiol. Rev. 33 (2009) 3–26.
[11] A.L. Koch, What size should a bacterium be? A question of scale, Ann. Rev. Microbiol. 50 (1996)
317–348.
[12] A.M. Makarieva, V.G. Gorshkov, B.-L. Li, S.L. Chown, P.B. Reich, V.M. Gavrilov, Mean mass-specific
metabolic rates are strikingly similar across life’s major domains: Evidence for life’s metabolic optimum,
Proc. Natl. Acad. Sci. 105 (2008) 16994–16999.
[13] D. Bray, Protein molecules as computational elements in living cells, Nature 376 (1995) 307–312.
[14] N. Ramakrishnan, U.S. Bhalla, J.J. Tyson, Computing with proteins, Computer 42 (2009) 47–56.
[15] N. Lane, Mitochondria: Key to complexity, in: W. Martin, M. Mu
¨
ller (Eds.), Origing of Mitochondria and
Hydrogenosomes, Springer-Verlag, Berlin Heidelberg, 2007.
12 CHAPTER 1 The nanomorphic cell

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