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GelFigure는 원시 DNA·단백질 겔 이미지를 브라우저에서 오프라인으로 처리해 논문용 그림으로 변환합니다
GelFigure: turn a raw DNA or protein gel image into a publication-ready figure in the browser. Offline image processing; gel images stay local.
디자인JavaScript · HTMLGitHub @poplarity온라인운영자 미확인
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Turn a raw agarose gel image into a publication-ready figure in the browser. Offline, nothing uploaded. 凝胶电泳作图工具
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README 전문 보기 ↗Turn a raw DNA or protein gel image into a publication-ready figure — in your browser, offline.
Download the single HTML file · Use online · 中文说明
Download one file, open it in your browser, and start making your figure. No installation, ZIP extraction or GitHub account is needed.
That one HTML file is the complete tool, including its layout and image-processing code. Keep it on your computer or send the same file to a colleague. Once downloaded, it works without an internet connection.
Get the right file: choose the release attachment named GelFigure-v0.6.15.html, not the repository's index.html, Source code (zip) or Source code (tar.gz). You do not need Code → Download ZIP. If you reach the release page, expand Assets and click the file ending in .html.
Keep your work: use File → Save project before closing. On a phone it is under ⋯ (or Export → Save project). Your .gelfig file contains the original image and annotations; reopen it in GelFigure to continue.
Prefer the website? Open GelFigure online. On phones and tablets, use this link in your browser; an HTML attachment preview in a messaging app may not run the tool.
Need help? See the illustrated download and opening guide or press ? inside the app.
Drop in the image from your gel imager or scanner. GelFigure works out whether it is a DNA (agarose) or a protein (SDS-PAGE) gel, straightens and crops it, finds the lanes, identifies the ladder and labels its band sizes in bp or kDa. You type the lane names on the figure and export. Everything happens in the browser; gel images stay local, nothing is installed.
clearer layout settings and release history. Layout is a normal, expanded sidebar section (Settings on a phone). A short notice introduces a new version once in this browser, without blocking work; importing an image dismisses it. Open Release history from the start page, File, Help or phone ⋯ to see bilingual highlights for each version and the version currently running. The summaries work offline; remembering a seen version requires available browser storage. Development builds are labelled explicitly.
red annotations. Click an arrow/symbol, region box, side bracket or side text and choose Colour → Red. Box frames, labels and enlarged copies share the colour; group labels colour their line and condition labels colour the whole row. Lane names support red on a selection or the whole name using the inline toolbar. Click a marker label to colour one size or that marker's labels/ticks/unit. Default restores the normal colour (white boxes on dark gels). Colour is saved in projects/history and applicable style fields, and retained in PNG, TIFF, SVG and editable PowerPoint. A grayscale gel with red annotations exports as RGB TIFF; source pixels and detection are unaffected.
feedback and support are always available. Use Feedback / support in the desktop top bar, or ⋯ → Feedback / support / Star on a phone, even before loading an image. Export reminders return on the next export after being closed. The online form needs no GitHub account: FormSubmit forwards your message, optional reply email and app version to the author. Failed submissions keep your text. Local HTML files offer copy/open-online fallback because this service requires a web page. Alipay support and GitHub Stars are optional. Hidden marker-label columns no longer create a blank strip beside arrows.
individual lane names and text formatting. Shared name settings remain the default. Click a name, expand Individual lane settings and enable custom size/angle only when needed; untick it to follow the shared settings again. Select text and use Upright, Italic, x² or x₂; with no selection the action applies to the whole name. Clear restores the shared face. Formatting travels with projects/styles and stays editable in PowerPoint. After exporting, you can leave feedback or optionally support the author via the provided Alipay QR. Viewing or saving the QR does not replace your figure; payment is never opened automatically.
여기까지가 README 앞부분입니다. 나머지는 원문에서 읽을 수 있습니다. README 전문 보기 ↗