The node, not just the implant
In a CMOS image-sensor pixel, the floating diffusion (FD) is the sensing node that receives charge transferred from a photodiode through the transfer gate. It is “floating” during the relevant readout interval after reset, not permanently insulated from the rest of the circuit. Charge on its effective capacitance changes the node voltage; for a small signal, the voltage change per electron is approximately q/C_FD. A source follower can then buffer that voltage. A study that separated FD capacitance components connected lower capacitance with higher conversion gain in its tested pixel design .
The 40nm BSI image-sensor flow contains an “NMOS S/D, FD IIP” Step. It is a useful manufacturing coordinate for a diffusion-related implant. The Step name and position do not by themselves prove a particular conversion gain, leakage current or noise floor. Anonymous visitors see a limited Step preview; a free account can read the full Step text.
Process checkpoint
Understand NMOS S/D, FD Ion Implantation in context
Inspect the NMOS source/drain and floating-diffusion-related implant in its actual process position; a free sign-in opens full Step text.
Process context for “Demystifying Floating Diffusion in CMOS Image Sensors: Physics, Process Integration, and Scaling Challenges”: 40nm BSI CMOS Image Sensor · NSDFD · Step 93
Why capacitance is a trade-off
FD capacitance includes contributions from the junction, neighboring gates and interconnect. Their relative size depends on layout, bias and the pixel architecture; no single contribution should be assumed dominant. Reducing effective capacitance increases voltage change per collected electron, but reduces the charge that can be held within a fixed voltage swing. The FD-capacitance study measured components and discussed the need to retain full-well capacity while raising conversion gain . A design may use additional storage or a different readout architecture to manage this tension, but the linked implant Step does not establish such a solution.
This electrical relation should not be confused with the manufacturing operation. The implant helps form a region, while junction geometry, contacts, gate coupling and readout timing together determine the effective sensing node.
Leakage and noise need separate endpoints
FD junction leakage can matter when charge remains on the node for an extended storage interval. A study of CMOS sensors that used FD for in-pixel storage measured non-uniform leakage and leakage-related random telegraph signals under that use case . This is not evidence that all pixel random-telegraph noise originates at the FD: source-follower noise is a separate mechanism. To assess a pixel, distinguish leakage or retention measurements from source-follower and downstream read-noise measurements.
Implantation and subsequent thermal processing also have separate outcomes: damage recovery, dopant activation and profile diffusion must be evaluated independently. The diffusion-time product discussed in the silicon process textbook describes diffusion behavior, not a single metric for lattice repair or activation . This article provides a physical map without fabrication settings or a prediction of pixel performance.
What the next page adds
Open the 40nm Step if the remaining question is where the FD-related implant occurs in a sensor flow. Use the article's capacitance and leakage discussion for why the node behaves as it does. If only a definition was needed, the answer is already here.
References
[Paper] Analysis and Reduction Technologies of Floating Diffusion Capacitance in CMOS Image Sensor for Photon-Countable Sensitivity
Fumiaki Kusuhara, Shunichi Wakashima, Satoshi Nasuno, R. Kuroda, S. Sugawa
Leakage Current Non-Uniformity and Random Telegraph Signals in CMOS Image Sensor Floating Diffusions Used for In-Pixel Charge Storage
A. L. Roch, V. Goiffon, O. Marcelot, P. Paillet, F. Pace, J. Belloir et al. · Italian National Conference on Sensors
Silicon VLSI Technology - Full
James D. Plummer, Michael D. Deal, Peter B. Griffin
Silicon VLSI Technology · ISBN 978-0130850379