Refactored fast autofocus
Tidied up the fast autofocus code, including moving the bulk of the new code from the `scan` plugin into `autofocus` and updating it to reflect the fact that the autofocus plugin now merges both old and new functionality (i.e. fast_autofocus is no longer a separate plugin). Also fixed a bug that caused it to overshoot on scans.
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2 changed files with 69 additions and 37 deletions
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@ -55,13 +55,9 @@ class AutofocusPlugin(MicroscopePlugin):
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### FAST AUTOFOCUS
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### FAST AUTOFOCUS
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#JPEGSharpnessMonitor = JPEGSharpnessMonitor # make the class available
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def sharpness_monitor(self):
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return JPEGSharpnessMonitor(self.microscope)
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@contextmanager
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@contextmanager
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def monitor_sharpness(self):
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def monitor_sharpness(self):
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m = self.sharpness_monitor()
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m = JPEGSharpnessMonitor(self.microscope)
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m.start()
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m.start()
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try:
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try:
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yield m
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yield m
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@ -86,4 +82,63 @@ class AutofocusPlugin(MicroscopePlugin):
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else:
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else:
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i, z = m.focus_rel(fz - z - backlash)
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i, z = m.focus_rel(fz - z - backlash)
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m.focus_rel(fz - z)
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m.focus_rel(fz - z)
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return m.data_dict()
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return m.data_dict()
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def fast_up_down_up_autofocus(self, dz=2000, target_z=0, initial_move_up=True, mini_backlash=150):
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"""Autofocus by measuring on the way down, and moving back up with feedback.
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This autofocus method is very efficient, as it only passes the peak once.
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The sequence of moves it performs is:
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1. Move to the top of the range `dz/2` (can be disabled)
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2. Move down by `dz` while monitoring JPEG size to find the focus.
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3. Move back up to the `target_z` position, relative to the sharpest image.
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4. Measure the sharpness, and compare against the curve recorded in (2) to
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estimate how much further we need to go. Make this move, to reach our
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target position.
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Moving back to the target position in two steps allows us to correct for
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backlash, by using the sharpness-vs-z curve as a rough encoder for Z.
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Parameters:
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dz: number of steps over which to scan (optional, default 2000)
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target_z: we aim to finish at this position, relative to focus. This may
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be useful if, for example, you want to acquire a stack of images in Z.
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It is optional, and the default value of 0 will finish at the focus.
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initial_move_up: (optional, default True) set this to `False` to move down
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from the starting position. Mostly useful if you're able to combine
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the initial move with something else, e.g. moving to the next scan point.
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mini_backlash: (optional, default 50) is a small extra move made in step
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3 to help counteract backlash. It should be small enough that you
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would always expect there to be greater backlash than this. Too small
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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 self.monitor_sharpness() as m:
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df = dz #TODO: refactor so I actually use dz in the code below!
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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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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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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([best_z+target_z], jz[::-1], js[::-1]) #NB jz is decreasing
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# now move to the start of the z stack
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i, z = m.focus_rel(best_z + target_z - z + mini_backlash) # 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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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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jz = jz[imax:]
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inow = np.argmax(js < current_js) # use the curve we recorded to estimate our position
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# TODO: fancy interpolation stuff
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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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correction_move = best_z + target_z - jz[inow]
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logging.debug("Fast autofocus scan: correcting backlash by moving {} steps".format(correction_move))
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m.focus_rel(correction_move)
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return m.data_dict()
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@ -125,11 +125,10 @@ class ScanPlugin(MicroscopePlugin):
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else:
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else:
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autofocus_enabled = False
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autofocus_enabled = False
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if fast_autofocus and not hasattr(self.microscope.plugin, 'default_fast_autofocus'):
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if fast_autofocus and not hasattr(self.microscope.plugin.default_autofocus, 'monitor_sharpness'):
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logging.error("Can't use fast autofocus in the scan - the plugin is missing or disabled.")
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logging.error("Can't use fast autofocus in the scan - the default plugin doesn't support monitor_sharpness; maybe it is too old?")
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fast_autofocus = False
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fast_autofocus = False
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z_stack_dz = grid[2] * step_size[2] if grid[2] > 1 else 0 # shorthand for Z stack range
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z_stack_dz = grid[2] * step_size[2] if grid[2] > 1 else 0 # shorthand for Z stack range
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sweep_to_scan_offset = 50 #TODO: make this a parameter, or calibrate it better! too small isn't a big problem, too big causes issues.
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# Construct an x-y grid (worry about z later)
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# Construct an x-y grid (worry about z later)
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x_y_grid = construct_grid(
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x_y_grid = construct_grid(
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@ -161,34 +160,12 @@ class ScanPlugin(MicroscopePlugin):
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# Refocus
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# Refocus
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if autofocus_enabled:
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if autofocus_enabled:
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if fast_autofocus:
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if fast_autofocus:
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# TODO: put this in the fast autofocus plugin!
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self.microscope.plugin.default_autofocus.fast_up_down_up_autofocus(
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with self.microscope.plugin.default_fast_autofocus.monitor_sharpness() as m:
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dz=autofocus_dz,
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df = autofocus_dz
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target_z=-z_stack_dz/2.0, # Finish below the focus
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# move down
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initial_move_up=False, # We're already at the top of the scan
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i, z = m.focus_rel(-df)
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)
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# now inspect where the sharpest point is, and estimate the sharpness
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#TODO: save the focus data for future reference? Use it for diagnostics?
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# (JPEG size) that we should find at the start of the Z stack
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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([best_z+z_stack_dz/2.0], jz[::-1], js[::-1]) #NB jz is decreasing
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# now move to the start of the z stack
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i, z = m.focus_rel(best_z - z + z_stack_dz/2.0 + sweep_to_scan_offset) # 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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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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jz = jz[imax:]
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inow = np.argmax(js < current_js) # use the curve we recorded to estimate our position
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# TODO: fancy interpolation stuff
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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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correction_move = best_z - jz[inow] - z_stack_dz/2.0
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logging.debug("Fast autofocus scan: correcting backlash by moving {} steps".format(correction_move))
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m.focus_rel(correction_move)
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else:
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else:
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logging.debug("Running autofocus")
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logging.debug("Running autofocus")
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self.microscope.plugin.default_autofocus.autofocus(
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self.microscope.plugin.default_autofocus.autofocus(
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