# Job: ResLog Analysis

## **Description**

This feature generates plots that show how the resolution of a given structure increases as more particles are added to the reconstruction. This insight may be useful in determining whether a higher-resolution result is possible with more particles, or if fewer particles are needed to achieve the same resolution. The implementation in CryoSPARC is based on [Stagg, S.M., Noble, A.J., Spilman, M. & Chapman, M.S. ResLog plots as an empirical metric of the quality of cryo-EM reconstructions. Journal of Structural Biology 185 (3), 418-426 (2014).](https://www.sciencedirect.com/science/article/pii/S1047847713003377?via%3Dihub)

![Example ResLog output depicting number of particles vs. spacial frequency](https://1916621962-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M7DGv3GkRvGGpbVPCgg%2Fuploads%2FvfjD0iNG5ygRystAX9y7%2F33_ResLog_0143.png?alt=media\&token=474607c6-a321-449f-bef7-a0f6de199fb0)

## **Input**

* Particles

## **Output**

* Particles

## **Common Parameters**

* `Reconstruction box-size`: The volume size to use for refinement. If this is *None*, use the full image size. Otherwise images are automatically downsampled
* `Symmetry`: Symmetry (e.g. C1, D7, etc.) of the dataset

## **Common Next Steps**

* Additional refinements with tuned number of input particles based on the ResLog analysis