biotech

QD-TEM analyzer

Measurement workspace

Accumulated Histogram

Accepted measurements are binned live as you work.

Diameter / Count

Drag X range CSV export includes all accepted measurements, including both NPL axes.

Run analysis to populate the histogram with accepted measurements.

Workspace

QD QD-TEM analyzer Live

SB Scale Calibration Ready

Mode Spherical

Queue 0 files

Saved runs No runs yet

QD-TEM analyzer

Upload TEM images, tune thresholds, preview overlays, and keep cumulative measurement history in one workspace.

System Local

Accepted 0

1 Input 0 files

2 Run Setup Spherical Dot

3 Run Auto-Detect After setup

4 Correct Overlay

5 Export CSV Ready

Input Queue

Select image files first, then tune setup for the batch.

Input

Images Supported formats: png, jpg, jpeg, tif, tiff

Selected files stay in this browser session: analyze, inspect overlays, then export accumulated results.

Run Setup

Adjust measurement mode and scale after choosing input files.

Setup

Shape mode Choose spherical dots or rectangular NPL/rod measurement. Scale bar length (nm) Enter the real scale length shown in the image. Scale bar color Match the visible scale bar color.

Results Table

Accumulated measurements stay here until you clear the session.

Export CSV Live history

File	Count	Mean L (nm)	Std L (nm)	Mean S (nm)	Std S (nm)	Status	Action

Live Preview

No image selected

Correct Spherical 100.0 nm scale

Ready

straighten Spherical

Select image files to preview. After analysis, detected objects are drawn in red.

Scan range Detection limits

min_nm max_nm

Dot correction No dot selected

0 verified

Detection Settings

Use goal-based tuning first; advanced values stay editable below.

Guided

Boundary fit Image contrast Noise cleanup Shape strictness

crop_bottom_px Higher crops more from the bottom ROI; lower keeps more bottom area.
(이미지 아래쪽을 얼마나 잘라낼지 정합니다. 값을 올리면 하단 영역을 더 많이 제외하고, 내리면 더 넓게 유지합니다.) gamma Higher makes the preprocessed image darker; lower makes it brighter.
(전처리 밝기와 명암을 조정할 때 사용합니다. 값을 올리면 이미지가 더 어두워지고, 내리면 더 밝아집니다.) gauss_sigma Higher applies stronger blur; lower keeps sharper edges.
(가우시안 블러 강도입니다. 값을 올리면 더 부드럽게 퍼지고, 내리면 경계가 더 선명하게 남습니다.) adapthist_clip Higher increases local contrast but can amplify noise.
(국소 대비를 얼마나 강하게 줄지 정합니다. 값을 올리면 대비가 커지지만 노이즈도 함께 늘 수 있습니다.) adapthist_tile_y Higher uses finer vertical tiles for local contrast calculation.
(세로 방향 대비 보정을 몇 구간으로 나눌지 정합니다. 값을 올리면 더 잘게 나눠 세밀하게 보정합니다.) adapthist_tile_x Higher uses finer horizontal tiles for local contrast calculation.
(가로 방향 대비 보정을 몇 구간으로 나눌지 정합니다. 값을 올리면 더 잘게 나눠 세밀하게 보정합니다.) boundary_expand_px Expands each detected dot radius after thresholding. Use this when the red circle sits inside the real particle boundary. dot_min_area_px Removes tiny connected regions before measuring dots. Higher values clean noise more aggressively.

Shape filtering

ecc_max Lower keeps circular particles only; higher allows more elongated shapes. sol_min Higher keeps cleaner shapes; lower allows more irregular candidates.

FFT ROI

Draw one lattice ROI, run FFT, then adjust the peak pair if needed.

0 FFT saved

FFT magnitude Auto pair Manual pair

White dots: detected spots Blue: auto suggestion Green: verified pair

FFT display Magnitude preview

Minimum 0 Maximum 255 Brightness 0 Contrast 100%

Show FFT overlay

Inverse FFT Filtered lattice image

IFFT filter Inverse preview

Mask radius 12 px Mode

FFT frequency profile Peak frequency -> d-spacing

Inverse FFT profile Detected peaks Selected peaks

ROI No ROI

d-spacing -

Angle -

Peak source -

Pick one ROI per selected image to start FFT analysis.

Analysis Console

Recent interaction and analysis events are listed here.