Merge branch 'calibration_thing' into 'v3'
Calibrate settling times after moves See merge request openflexure/openflexure-microscope-server!207
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commit
92619e2131
3 changed files with 72 additions and 5 deletions
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@ -385,13 +385,17 @@ class JPEGSharpnessMonitor:
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)
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return jpeg_heights[np.argmax(jpeg_sizes)]
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def data_dict(self) -> SharpnessDataArrays:
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"""Return the gathered data as a single convenient dictionary."""
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def data_to_array(self) -> SharpnessDataArrays:
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"""Return the gathered data as SharpnessDataArrays."""
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data = {}
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for k in ["jpeg_times", "jpeg_sizes", "stage_times", "stage_positions"]:
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data[k] = getattr(self, k)
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return SharpnessDataArrays(**data)
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def data_dict(self) -> dict:
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"""Return the gathered data as dict."""
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return self.data_to_array().model_dump()
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class AutofocusThing(lt.Thing):
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"""The Thing concerned with combinations of z axis movements and the camera.
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@ -432,7 +436,7 @@ class AutofocusThing(lt.Thing):
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# Move to the target position fz (relative move of (peak - current z))
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sharpness_monitor.focus_rel(peak_z - base_z)
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# Return all focus data
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return sharpness_monitor.data_dict()
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return sharpness_monitor.data_to_array()
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@lt.action
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def z_move_and_measure_sharpness(
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@ -457,7 +461,7 @@ class AutofocusThing(lt.Thing):
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if move_index > 0 and wait > 0:
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time.sleep(wait)
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sharpness_monitor.focus_rel(current_dz)
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return sharpness_monitor.data_dict()
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return sharpness_monitor.data_to_array()
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@lt.action
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def looping_autofocus(
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@ -836,6 +840,21 @@ class AutofocusThing(lt.Thing):
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final_z = self._stage.position["z"]
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return final_z, z_positions
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@lt.action
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def measure_settling_time(
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self, delay: float = 2, dz: int = 800
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) -> SharpnessDataArrays:
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"""Make a Z move down then up by dz, then pause for delay while monitoring sharpness.
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This is useful to see how long to wait for the sharpness value to converge
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"""
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with JPEGSharpnessMonitor(self._stage, self._cam) as sharpness_monitor:
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sharpness_monitor.focus_rel(-dz)
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sharpness_monitor.focus_rel(dz)
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# Sleep for the given delay, continuing to measure frames without moving
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time.sleep(delay)
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return sharpness_monitor.data_to_array()
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class NotAPeakError(lt.exceptions.InvocationError):
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"""The data to fit isn't a peak."""
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