## Introduction
The flagellar motor is a molecular machine that facilitates the motility of many microorganisms, playing a key role in processes ranging from chemotaxis to pathogenesis. Cryogenic electron tomography (cryo-ET) has enabled us to image these nanomachines in near-native conditions. But identifying flagellar motors in these three-dimensional reconstructions (tomograms) is labor intensive. Factors such as a low signal-to-noise ratio, variable motor orientations, and the complexity of crowded intracellular environments complicate automated identification. Cryo-ET studies become limited by the bottle-neck of a human in the loop. In this contest, your task is to develop an image processing algorithm that identifies the location of a flagellar motor, if it is present.

A **tomogram** is a three-dimensional image that has been *reconstructed* from a series of 2D projection images. The images in this challenge are tomograms of bacteria that have been flash-frozen in ice, which preserves the molecular structure of the bacteria for the imaging process. [This video](https://www.cellstructureatlas.org/6-2-flagellar-motor.html) walks through slices of a tomogram highlighting different features of a bacterial cell, including a flagellar motor. The accompanying text describes the purpose and function of the motor.