Added debug output and stage lock on fast autofocus
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1 changed files with 25 additions and 12 deletions
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@ -8,11 +8,13 @@ from openflexure_microscope.utilities import set_properties
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import time
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import numpy as np
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import threading
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import logging
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from scipy import ndimage
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from contextlib import contextmanager
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from threading import Thread, Event
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### Autofocus utilities
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@ -25,7 +27,7 @@ class JPEGSharpnessMonitor:
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self.jpeg_times = []
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self.stage_positions = []
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self.stage_times = []
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self.stop_event = threading.Event()
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self.stop_event = Event()
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self.timeout = timeout
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self.keep_alive()
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self.background_thread = None
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@ -48,26 +50,31 @@ class JPEGSharpnessMonitor:
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def start(self):
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"Start monitoring sharpness by looking at JPEG size"
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self.background_thread = threading.Thread(target=self._measure_jpegs)
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self.background_thread = Thread(target=self._measure_jpegs)
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self.background_thread.start()
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return self
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def stop(self):
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"Stop the background thread"
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self.stop_event.set()
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print("Joining JPEG thread")
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self.background_thread.join()
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def _measure_jpegs(self):
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"Function that runs in a background thread to record sharpness"
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logging.info("Starting sharpness measurement in background thread")
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logging.debug("Starting sharpness measurement in background thread")
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self.keep_alive()
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logging.debug(f"_measure_jpegs stop_event: {self.stop_event.is_set()}")
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while not self.stop_event.is_set() and not self.should_stop():
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self.jpeg_sizes.append(self.jpeg_size())
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self.jpeg_times.append(time.time())
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size_now = self.jpeg_size()
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time_now = time.time()
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self.jpeg_sizes.append(size_now)
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self.jpeg_times.append(time_now)
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print("Exited JPEG measure loop")
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if self.stop_event.is_set():
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logging.info("Cleanly stopped sharpness measurement in background thread")
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logging.debug("Cleanly stopped sharpness measurement in background thread")
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if self.should_stop():
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logging.info("Sharpness measurement timed out and has stopped")
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logging.debug("Sharpness measurement timed out and has stopped")
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def jpeg_size(self):
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"""Return the size of a frame from the MJPEG stream"""
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@ -195,7 +202,7 @@ def move_and_find_focus(microscope, dz):
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def fast_autofocus(microscope, dz=2000, backlash=None):
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"""Perform a down-up-down-up autofocus"""
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with monitor_sharpness(microscope) as m, microscope.camera.lock:
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with monitor_sharpness(microscope) as m, microscope.camera.lock, microscope.stage.lock:
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i, z = m.focus_rel(-dz / 2)
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i, z = m.focus_rel(dz)
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fz = m.sharpest_z_on_move(i)
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@ -245,17 +252,20 @@ def fast_up_down_up_autofocus(
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might slightly hurt accuracy, but is unlikely to be a big issue. Too big
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may cause you to overshoot, which is a problem.
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"""
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with monitor_sharpness(microscope) as m, microscope.camera.lock:
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with monitor_sharpness(microscope) as m, microscope.camera.lock, microscope.stage.lock:
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# Ensure the MJPEG stream has started
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microscope.camera.start_stream_recording()
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df = dz # TODO: refactor so I actually use dz in the code below!
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logging.debug("Initial move")
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if initial_move_up:
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m.focus_rel(df / 2)
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# move down
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logging.debug("Move down")
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i, z = m.focus_rel(-df)
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# now inspect where the sharpest point is, and estimate the sharpness
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# (JPEG size) that we should find at the start of the Z stack
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logging.debug("Get target_s")
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jt, jz, js = m.move_data(i)
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best_z = jz[np.argmax(js)]
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target_s = np.interp(
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@ -263,11 +273,13 @@ def fast_up_down_up_autofocus(
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) # NB jz is decreasing
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# now move to the start of the z stack
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logging.debug("Move to the start of the z stack")
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i, z = m.focus_rel(
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best_z + target_z - z + mini_backlash
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) # takes us to the start of the stack
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# We've deliberately undershot - figure out how much further we should move based on the curve
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logging.debug("Calculate remining movement")
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current_js = m.jpeg_size()
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imax = np.argmax(js) # we want to crop out just the bit below the peak
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js = js[imax:] # NB z is in DECREASING order
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@ -279,6 +291,7 @@ def fast_up_down_up_autofocus(
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# So, the Z position corresponding to our current sharpness value is zs[inow]
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# That means we should move forwards, by best_z - zs[inow]
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logging.debug("Correction move")
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correction_move = best_z + target_z - jz[inow]
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logging.debug(
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"Fast autofocus scan: correcting backlash by moving {} steps".format(
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@ -317,7 +330,7 @@ class AutofocusAPI(View):
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dz = payload.param("dz", default=np.linspace(-300, 300, 7), convert=np.array)
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if microscope.has_real_stage():
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logging.info("Running autofocus...")
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logging.debug("Running autofocus...")
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task = taskify(autofocus)(microscope, dz)
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# return a handle on the autofocus task
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@ -348,7 +361,7 @@ class FastAutofocusAPI(View):
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backlash = 0
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if microscope.has_real_stage():
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logging.info("Running autofocus...")
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logging.debug("Running autofocus...")
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task = taskify(fast_up_down_up_autofocus)(microscope, dz=dz, mini_backlash=backlash)
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# return a handle on the autofocus task
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