Reducing crosstalk in vertically integrated CMOS image sensors
Bibliographic record
Abstract
Image sensors can benefit from 3D IC fabrication methods because photodetectors and electronic circuits may be fabricated using significantly different processes. When fabricating the die that contains the photodetectors, it is desirable to avoid pixel level patterning of the light sensitive semiconductor. But without a physical border between adjacent photodetectors, lateral currents may flow between neighboring devices, which is called "crosstalk". This work introduces circuits that can be used to reduce crosstalk in vertically-integrated (VI) CMOS image sensors with an unpatterned photodetector array. It treats the case of a VI-CMOS image sensor composed of a silicon die with CMOS read-out circuits and a transparent die with an unpatterned array of photodetectors. A reduction in crosstalk can be achieved by maintaining a constant electric potential at all nodes, at which the photodetector array connects with the readout circuit array. This can be implemented by designing a pixel circuit that uses an operational amplifier with a logarithmic feedback to control the voltage at the input node. The work presents several optional circuit configurations for the pixel circuit, and indicates the one that is the most power efficient. Afterwards, it uses a simplified small-signal model of the pixel circuit to address stability and compensation issues. Lastly, the method is validated through circuit simulation for a standard CMOS process.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".