We present our new single cell proteome platform called SCREEN, a robust technique and methodology enabling simultaneous deep proteome analysis of multiple single cell preparations. This new platform makes improvements in all areas of the original SCoPE MS technique. The enhancements include fast sample preparation time, inexpensive chemistry, free single cell lysis, 96-well plate format, low volume, fully automated single cell preparation procedure. We have also improved the mass spectrometry acquisition method that allows the use of more than 200 cells in the carrier channel, which increases the depth of coverage and, most importantly, it increases the number of cells that have a larger numbers of proteins quantified across a given study. Finally, we made improvements to the single cell data analysis procedure, which includes data cleanup, TMT channel normalization, plate batch effect normalization, and the critical step of data imputation allowing use of a larger number of cells needed for rigorous statistical analysis. As a result of the strictly targeted approach and the new data acquisition of MS2 spectra (SCoPE X), and the new analysis method to quantify single cell data, we have significantly improved coverage of quantified proteins across all cells by more than 10-fold, goring from below 50 in our original SCoPE method to above 600 with SCREEN. The total number of proteins detected has increased from around 1,200 (SCoPE) to above 2,900 as an average number detected per well in a 96 well plate format. A total of 3,006 proteins were identified and quantified at 1 % FDR across three plates in our study of Jurkat vs U936 cells. A critical parameter in the identification process is the depth of quantitative data from the identified proteins -only 170 proteins were identified and quantified respectively with single peptide and on average each protein was quantified with 4 unique peptides at a 1% FDR. Such deep proteome coverage as well as multi-peptide quantitation of each protein provides rich analytical data that can be used in the analysis of global cell heterogeneity, never achieved previously at single cell resolution.