Create aquisition routines for scan workflows, remove background detector from base ScanWorkflow class
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b6343362b2
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2 changed files with 86 additions and 52 deletions
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@ -7,7 +7,6 @@ from openflexure_microscope_server.scan_planners import ScanPlanner, SmartSpiral
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from openflexure_microscope_server.stitching import STITCHING_RESOLUTION
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from openflexure_microscope_server.things.autofocus import AutofocusThing
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from openflexure_microscope_server.things.background_detect import (
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BackgroundDetectAlgorithm,
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ChannelDeviationLUV,
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)
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from openflexure_microscope_server.things.camera_stage_mapping import CameraStageMapper
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@ -20,14 +19,10 @@ class ScanWorkflow(lt.Thing):
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scan planning, aquisition routine.
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"""
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# All workdlows must have at least one background detector and a set class for scan
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# planning
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_background_detector: Optional[
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BackgroundDetectAlgorithm | Mapping[str, BackgroundDetectAlgorithm]
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] = lt.thing_slot()
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# All workdlows must have a set class for scan planning
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_planner_cls: type[ScanPlanner]
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# All workdlows set a save resolution
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# All workflows set a save resolution
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save_resolution: tuple[int, int] = lt.setting(default=(1640, 1232))
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"""A tuple of the image resolution to capture."""
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@ -56,15 +51,26 @@ class ScanWorkflow(lt.Thing):
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is returned if it is not possible to stitch the scan.
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"""
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raise NotImplementedError(
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"Each specific ScanWorkflow must implement a `all_settings`. "
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"method."
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"Each specific ScanWorkflow must implement a `all_settings`. method."
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)
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def pre_scan_routine(self) -> None:
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def pre_scan_routine(self, settings: dict) -> None:
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raise NotImplementedError(
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"Each specific ScanWorkflow must implement a pre-scan routine."
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)
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def new_scan_planner(self, settings: dict, position: Mapping[str, int]) -> None:
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raise NotImplementedError(
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"Each specific ScanWorkflow must implement a ``new_scan_planner`` method."
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)
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def aquisition_routine(
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self, settings: dict, xyz_pos: tuple[int, int, int]
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) -> tuple[bool, Optional[int]]:
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raise NotImplementedError(
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"Each specific ScanWorkflow must implement an aquisition routine"
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)
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class HistoScanWorkflow(ScanWorkflow):
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# Thing Slots
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@ -184,5 +190,53 @@ class HistoScanWorkflow(ScanWorkflow):
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# If not use the other stage axes
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return x_move_stage["y"], y_move_stage["x"]
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def pre_scan_routine(self) -> None:
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self._autofocus.looping_autofocus(dz=self.autofocus_dz, start="centre")
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def pre_scan_routine(self, settings: dict) -> None:
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self._autofocus.looping_autofocus(dz=settings["autofocus_dz"], start="centre")
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def new_scan_planner(self, settings: dict, position: Mapping[str, int]) -> None:
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# The initial plan for the scan should be a single x,y position. All future
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# moves will be planned around this point. In future, route planner could
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# have multiple starting positions, each of which will be visited before the
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# scan can end.
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planner_settings = {
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"dx": settings["dx"],
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"dy": settings["dy"],
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"max_dist": settings["max_dist"],
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}
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return self._planner_cls(
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initial_position=(position["x"], position["y"]),
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planner_settings=planner_settings,
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)
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def aquisition_routine(
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self, settings: dict, xyz_pos: tuple[int, int, int]
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) -> tuple[bool, Optional[int]]:
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"""Perform aquisition routine. This is run at each scan location.
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:return: A tuple of whether an image was taken, and the z-position for focus.
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If failed to find focus, returns for the focus z-position.
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"""
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# If skipping background, take an image to check if current field of view is background
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if settings["skip_background"]:
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capture_image, bg_message = self._cam.image_is_sample()
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if not capture_image:
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msg = f"Skipping {xyz_pos} as it is {bg_message}."
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self.logger.info(msg)
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return False, None
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save_on_failure = settings["skip_background"]
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focused, focused_height = self._autofocus.run_smart_stack(
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stack_parameters=self.stack_params,
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save_on_failure=save_on_failure,
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)
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# An image was captured if we are focussed or we are not skipping background.
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imaged = focused or save_on_failure
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# run_smart_stage always returns a focus height for the sharpest image even
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# if it failed to find a good focus. Set to None if not focussed.
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if not focused:
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focused_height = None
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return imaged, focused_height
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@ -22,19 +22,18 @@ from typing import (
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TypeVar,
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)
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import numpy as np
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from fastapi import HTTPException
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from fastapi.responses import FileResponse
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from pydantic import BaseModel
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import labthings_fastapi as lt
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from openflexure_microscope_server import scan_directories, scan_planners, stitching
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from openflexure_microscope_server import scan_directories, stitching
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# Things
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from .autofocus import AutofocusThing, StackParams
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from .camera import BaseCamera
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from .camera_stage_mapping import CameraStageMapper, CSMUncalibratedError
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from .camera_stage_mapping import CameraStageMapper
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from .scan_workflows import HistoScanWorkflow, ScanWorkflow
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from .stage import BaseStage
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@ -284,6 +283,9 @@ class SmartScanThing(lt.Thing):
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@_scan_running
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def _manage_stitching_threads(self) -> None:
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"""Manage the stitching threads, starting them if needed and not already running."""
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if self.scan_data.stitching_settings is None:
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# This scan can't stitch.
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return
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# Assume 4 images means at least one offset in x and y, making the stitching
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# well constrained.
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if self.scan_data.image_count > 3 and not self.preview_stitcher.running:
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@ -354,18 +356,9 @@ class SmartScanThing(lt.Thing):
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This loop runs during a scan, until no more scan x,y positions
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are remaining.
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"""
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# The initial plan for the scan should be a single x,y position. All future
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# moves will be planned around this point. In future, route planner could
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# have multiple starting positions, each of which will be visited before the
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# scan can end.
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planner_settings = {
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"dx": self.scan_data.dx,
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"dy": self.scan_data.dy,
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"max_dist": self.scan_data.max_dist,
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}
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route_planner = scan_planners.SmartSpiral(
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initial_position=(self._stage.position["x"], self._stage.position["y"]),
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planner_settings=planner_settings,
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workflow_settings = self.scan_data.workflow_settings
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route_planner = workflow.new_scan_planner(
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workflow_settings, self._stage.position
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)
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# The loop tests if the scan should continue, moves to the next position,
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@ -383,43 +376,30 @@ class SmartScanThing(lt.Thing):
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new_pos_xyz[1],
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self._stage.position["z"],
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)
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capture_image = True
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# If skipping background, take an image to check if current field of view is background
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if self.scan_data.skip_background:
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capture_image, bg_message = self._cam.image_is_sample()
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if not capture_image:
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route_planner.mark_location_visited(
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new_pos_xyz, imaged=False, focused=False
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)
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msg = f"Skipping {new_pos_xyz} as it is {bg_message}."
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self.logger.info(msg)
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continue
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focused, focused_height = self._autofocus.run_smart_stack(
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stack_parameters=self.stack_params,
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save_on_failure=not self.scan_data.skip_background,
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imaged, focus_height = workflow.aquisition_routine(
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workflow_settings, current_pos_xyz
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)
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current_pos_xyz = (new_pos_xyz[0], new_pos_xyz[1], focused_height)
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# An image was captured if we are focussed or we are not skipping background.
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imaged = focused or not self.scan_data.skip_background
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if focus_height is None:
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focused = False
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else:
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current_pos_xyz = (new_pos_xyz[0], new_pos_xyz[1], focus_height)
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route_planner.mark_location_visited(
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current_pos_xyz, imaged=imaged, focused=focused
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)
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# increment capture counter as thread has completed
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self.scan_data.image_count += 1
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# Add it to the incremental zip
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self.ongoing_scan.zip_files()
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if imaged:
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# increment capture counter as thread has completed
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self.scan_data.image_count += 1
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# Add it to the incremental zip
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self.ongoing_scan.zip_files()
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@_scan_running
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def _return_to_starting_position(self) -> None:
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"""Return to the initial scan position, if set."""
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self.logger.info("Returning to starting position.")
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if self._scan_data is not None:
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self._stage.move_absolute(
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**self.scan_data.starting_position, block_cancellation=True
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