def serialize(self):
        """
        Convert the data to one that can be saved in h5 structures

        Returns:
            pandas.DataFrame: like a cell data frame but serialized. columns
        """
        df = self.copy()
        df['scored_calls'] = df['scored_calls'].apply(lambda x: json.dumps(x))
        df['channel_values'] = df['channel_values'].apply(lambda x: json.dumps(x))
        df['regions'] = df['regions'].apply(lambda x: json.dumps(x))
        df['phenotype_calls'] = df['phenotype_calls'].apply(lambda x: json.dumps(x))
        df['neighbors'] = df['neighbors'].apply(lambda x: json.dumps(x))
        df['frame_shape'] = df['frame_shape'].apply(lambda x: json.dumps(x))
        return df
Convert the data to one that can be saved in h5 structures

        Returns:
            pandas.DataFrame: like a cell data frame but serialized. columns