This paper introduces a linear weighted integrate and fire (I&F) neuron architecture for Ion-Sensitive Field-Effect Transistors (ISFETs). It contributes to the next generation of neuromorphic lab-on-chip (LoC) platforms with the aim to integrate electrochemical sensors with neural networks on-silicon to compensate for sensor non-idealities. The neuron consists of a readout circuit, a linear voltage-controlled weighting circuit, and a robust I&F circuit with low power consumption. Notably, the readout in the neuron circuit achieves linear conversion of input voltage to output current at low power. This work also presents a cluster architecture for spatial correlation of trapped charge effects and process variations. The calibration system integrated in each cluster is realized using a current bit cell chain inspired from the current mode algorithmic ADC. The compensation range for each pixel ranges from -157.7mV to 128.1mV. The system is implemented as a 25 X 20 cluster array, and the sensitivity of each cluster is 10.92kHz/pH.