One of the hottest trends in NGS applications is that of spatial genomics - measuring nucleic acids and proteins while maintaining the XY (and sometimes Z) coordinates within the tissue sample. This is a very dynamic market with a variety of approaches with a lot of variability in terms of resolution, sampling method (explained below), plexity, detection method, area of coverage, workflow, etc. Some of the main attributes that I track are included here.
If you have any comments (companies/technologies I missed, mischaracterizations, etc), hit me up on Twitter. Also be sure to check out Albert Vilella's list (where uses and tracks slightly different parameters).
Spatial Genomics Necropolis
Continuous = entire area of focus is monitored
Patterned = area is subsampled via an overlaid grid pattern
Sampled = user manually chooses sections of the area of monitor